1. A big data hot topic processing method based on artificial intelligence is applied to a topic server which is in communication connection with an online template topic processing device and an online target topic processing device, and comprises the following steps:

respectively carrying out session interaction analysis on a target hot topic under different session interaction environments based on the online template topic processing equipment and the online target topic processing equipment to obtain a hot tracking preference topic corresponding to the target hot topic;

determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

2. The method of claim 1, wherein determining a mode optimization condition according to the hotspot tracking preference topic, and optimizing a hotspot topic tracking mode by modifying guidance information in a mode comprises:

analyzing topic contents of the hotspot tracking preference topics to obtain preference keyword sets corresponding to hotspot tracking preferences, and determining session preference information corresponding to current session plates through the preference keyword sets;

and transmitting the session preference information into a hot topic tracking network corresponding to a hot topic tracking mode, and enabling the word vector distance of any two preference keyword information in a plurality of hot tracking preference keyword information output by a topic tracking unit of the hot topic tracking network to be greater than a second set word vector distance by modifying the network parameters of a mode guiding unit in the hot topic tracking network.

3. The method as claimed in claim 1, wherein based on the online template topic processing device and the online target topic processing device, respectively performing session interaction analysis on a target hotspot topic under different session interaction environments to obtain a hotspot tracking preference topic corresponding to the target hotspot topic, comprises:

acquiring an online template social topic identified by online template topic processing equipment in an online conversation interaction environment and an online target social topic identified by online target topic processing equipment in the online conversation interaction environment, wherein the topic identification modes of the online template topic processing equipment and the online target topic processing equipment are different;

determining a topic reference record of a target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online template social topic, a preference updating condition of a topic tracking item between an online conversation interaction environment and an offline conversation interaction environment, a topic reference record of an offline template topic processing device under the offline conversation interaction environment, and a topic reference record of an offline target topic processing device under the offline conversation interaction environment;

according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment.

4. The method of claim 3, wherein determining the topic reference record of the target hotspot topic in the online target social topic according to a topic reference record of the target hotspot topic in the online template social topic, a preference update of a topic tracking item between an online conversation interaction environment and an offline conversation interaction environment, a topic reference record of an offline template topic processing device in the offline conversation interaction environment, and a topic reference record of an offline target topic processing device in the offline conversation interaction environment comprises:

determining an offline topic reference record of a target hotspot topic in the offline session interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the preference updating condition of a topic tracking item between the online session interaction environment and the offline session interaction environment and the topic reference record of the offline template topic processing equipment in the offline session interaction environment;

determining a topic reference record in an offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and a topic reference record of offline target topic processing equipment in the offline session interaction environment;

and determining the topic reference record of the target hotspot topic in the online target social topic according to the topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interactive environment and the preference updating condition of the topic tracking item between the online conversation interactive environment and the offline conversation interactive environment.

5. The method of claim 4, wherein determining an offline topic reference record of a target hotspot topic in an offline session interaction environment according to a topic reference record of the target hotspot topic in the online template social topic, a preference update of a topic tracking item between the online session interaction environment and the offline session interaction environment, and a topic reference record of an offline template topic processing device in the offline session interaction environment comprises:

determining a topic reference record of a target hot topic in an offline template social topic under the offline conversation interaction environment according to a topic reference record of the target hot topic in the online template social topic and a preference updating condition of a topic tracking item between the online conversation interaction environment and the offline conversation interaction environment;

determining a hot topic log to which a topic reference record of offline template topic processing equipment in an offline session interaction environment and a topic reference record of a target hot topic in an offline template social topic in the offline session interaction environment belong as a template hot topic log, wherein the topic identification modes of the offline template topic processing equipment and the online template topic processing equipment are the same;

and determining an offline theme reference record of the target hotspot theme in the offline session interaction environment according to the log text difference between the template hotspot theme log and the significant hotspot theme log in the offline session interaction environment.

6. The method as claimed in claim 4, wherein determining the topic reference record of the target hotspot topic in the offline target social topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and the topic reference record of the offline target topic processing device in the offline session interaction environment comprises:

determining a hot topic log to which the topic reference record of the target hot topic under an offline session interaction environment and the topic reference record of the offline target topic processing equipment under the offline session interaction environment belong as a target hot topic log, wherein the topic identification modes of the offline target topic processing equipment and the online target topic processing equipment are the same;

and determining a topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interaction environment according to the difference between the target hotspot topic log and the log text of the device operation record of the offline target topic processing device under the offline conversation interaction environment.

7. The method of claim 3, wherein determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic comprises:

determining a multi-end dynamic tracking topic of the target hot topic in the online template social topic as a hot tracking preference topic of template social data according to a topic reference record of the target hot topic in the online template social topic and topic summarizing index information of a first preset topic reference record;

determining a multi-end dynamic tracking topic of the target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online target social topic and topic summarizing index information of a second preset topic reference record, wherein the multi-end dynamic tracking topic is used as a hot tracking preference topic of target social data;

taking the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as hotspot tracking preference topics of target hotspot topics in an online conversation interaction environment;

the method for using the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in the online conversation interaction environment comprises the following steps:

determining word vector distance of preference keyword information between the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data;

and if the word vector distance of the preference keyword information is greater than the first set word vector distance, taking the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in the online conversation interaction environment.

8. The method of claim 1, further comprising: and tracking the hot topic to be tracked by adopting an optimized hot topic tracking mode.

9. The method of claim 8, wherein tracking the hot topic to be tracked in an optimized hot topic tracking manner comprises:

acquiring first and second hot topic tracking indications corresponding to the optimized hot topic tracking mode, wherein the first hot topic tracking indication is a distributed hot topic tracking indication, the second hot topic tracking indication is a streaming hot topic tracking indication, and the update activation information of the first and second hot topic tracking indications comprises a hot topic tracking occupation ratio;

performing intermodulation on one or more groups of tracking indication information on the first hot spot subject tracking indication and the second hot spot subject tracking indication respectively to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

respectively optimizing hotspot subject tracking occupation ratios in the updated activation information of the first target tracking indication and the second target tracking indication based on the intermodulation tracking indication information in the first target tracking indication and the second target tracking indication and the corresponding quantitative statistical information of all tracking indication information, wherein the intermodulation tracking indication information in the first target tracking indication and the second target tracking indication is respectively regarded as the second hotspot subject tracking indication information and the first hotspot subject tracking indication information; tracking the hot topic to be tracked based on the first and second hot topic tracking instructions and the first and second target tracking instructions to obtain a latest hot topic after tracking;

wherein the inter-modulating one or more sets of tracking indication information for the first hot spot topic tracking indication and the second hot spot topic tracking indication respectively to obtain a first target tracking indication corresponding to the first hot spot topic tracking indication and a second target tracking indication corresponding to the second hot spot topic tracking indication includes:

determining a first hotspot subject tracking indication and a second hotspot subject tracking indication which need intermodulation tracking indication information;

intermodulation of one or more groups of tracking indication information of the same category in the first hot spot subject tracking indication and the second hot spot subject tracking indication to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

the optimizing hot spot theme tracking ratio in the updated activation information of the first and second target tracking indications respectively based on the intermodulation tracking indication information in the first and second target tracking indications and the corresponding quantitative statistical information of all the tracking indication information includes:

determining first hotspot subject tracking indication information which is not intermodulation in the first target tracking indication and first tracking indication information quantization statistical information of the first target tracking indication based on the intermodulation tracking indication information in the first target tracking indication;

optimizing hotspot subject tracking proportion of the first target tracking indication based on first tracking indication information quantitative statistical information of the first target tracking indication;

determining tracking indication information subjected to intermodulation in the second target tracking indication and quantization statistical information of the second target tracking indication, and taking the quantization statistical information as first tracking indication information quantization statistical information of the second target tracking indication;

optimizing hotspot subject tracking occupation ratio of the second target tracking indication based on first tracking indication information quantitative statistical information of the second target tracking indication;

wherein, intermodulation of one or more sets of tracking indication information of the same category in the first hotspot topic tracking indication and the second hotspot topic tracking indication to obtain a first target tracking indication corresponding to the first hotspot topic tracking indication and a second target tracking indication corresponding to the second hotspot topic tracking indication includes:

decomposing the first hot spot theme tracing instruction and the second hot spot theme tracing instruction into tracing instruction information groups with consistent number according to the same condition decomposing mode;

selecting one or more than one tracking indication information groups in the same category from the first hot spot subject tracking indication and the second hot spot subject tracking indication to perform intermodulation, so as to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

wherein, the selecting one or more tracking indication information sets located in the same grouping area from the first hot spot topic tracking indication and the second hot spot topic tracking indication to perform intermodulation, so as to obtain a first target tracking indication corresponding to the first hot spot topic tracking indication and a second target tracking indication corresponding to the second hot spot topic tracking indication, includes:

randomly selecting a value from a preset value interval as the inter-modulation number of the tracking indication information group of the first hot spot subject tracking indication and the second hot spot subject tracking indication;

calibrating the tracking indication information groups of the first and second hot spot theme tracking indications to obtain a tracking indication information calibration queue;

randomly setting a queue grouping area calibrated in the tracking indication information calibration queue to obtain a randomly set tracking indication information calibration queue;

selecting the calibration of the intermodulation number of the tracking indication information group from the randomly set tracking indication information calibration queue as an intermodulation mark;

and intermodulation tracking indication information groups indicated by the intermodulation marks in the first hotspot subject tracking indication and the second hotspot subject tracking indication to obtain a first target tracking indication corresponding to the first hotspot subject tracking indication and a second target tracking indication corresponding to the second hotspot subject tracking indication.

10. A topic server comprising a processing engine, a network module, and a memory; the processing engine and the memory communicate through the network module, the processing engine reading a computer program from the memory and operating to perform the method of any of claims 1-9.

Background

Topic identification and tracking can organize information related to scattered and variable topics, so that effective collection and organization of big data topic information are achieved, a user is helped to find the relation among all factors in the topics, the overall details of individual topics and the relation of the topics or other topics are known integrally, and further a decision basis is provided for subsequent service pushing or service recommendation.

According to the contents, the key of topic identification and tracking lies in 'hot topics', for different conversation plates, the hot topics have variability and randomness, and the related hot topic tracking technology is difficult to be adaptively matched with the conversation preference of related users. Therefore, how to track the hot topics in a targeted manner to match the session preferences in the actual hot topic tracking and positioning scenario is a technical problem which needs to be improved at present.

Disclosure of Invention

One of the embodiments of the present application provides a big data hot topic processing method based on artificial intelligence, which is applied to a topic server, where the topic server is in communication connection with an online template topic processing device and an online target topic processing device, and the method includes: respectively carrying out session interaction analysis on a target hot topic under different session interaction environments based on the online template topic processing equipment and the online target topic processing equipment to obtain a hot tracking preference topic corresponding to the target hot topic; determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

Preferably, determining a mode optimization condition according to the hotspot tracking preference topic, and optimizing the hotspot topic tracking mode by modifying the guide information in a mode, wherein the mode optimization condition comprises the following steps:

analyzing topic contents of the hotspot tracking preference topics to obtain preference keyword sets corresponding to hotspot tracking preferences, and determining session preference information corresponding to current session plates through the preference keyword sets;

and transmitting the session preference information into a hot topic tracking network corresponding to a hot topic tracking mode, and enabling the word vector distance of any two preference keyword information in a plurality of hot tracking preference keyword information output by a topic tracking unit of the hot topic tracking network to be greater than a second set word vector distance by modifying the network parameters of a mode guiding unit in the hot topic tracking network.

Preferably, based on the online template topic processing device and the online target topic processing device, session interaction analysis is respectively performed on a target hotspot topic in different session interaction environments to obtain a hotspot tracking preference topic corresponding to the target hotspot topic, including:

acquiring an online template social topic identified by online template topic processing equipment in an online conversation interaction environment and an online target social topic identified by online target topic processing equipment in the online conversation interaction environment, wherein the topic identification modes of the online template topic processing equipment and the online target topic processing equipment are different;

determining a topic reference record of a target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online template social topic, a preference updating condition of a topic tracking item between an online conversation interaction environment and an offline conversation interaction environment, a topic reference record of an offline template topic processing device under the offline conversation interaction environment, and a topic reference record of an offline target topic processing device under the offline conversation interaction environment;

according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment.

Preferably, determining a topic reference record of the target hotspot topic in the online target social topic according to a topic reference record of the target hotspot topic in the online template social topic, a preference update condition of a topic tracking item between an online conversation interaction environment and an offline conversation interaction environment, a topic reference record of an offline template topic processing device in the offline conversation interaction environment, and a topic reference record of an offline target topic processing device in the offline conversation interaction environment comprises:

determining an offline topic reference record of a target hotspot topic in the offline session interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the preference updating condition of a topic tracking item between the online session interaction environment and the offline session interaction environment and the topic reference record of the offline template topic processing equipment in the offline session interaction environment;

determining a topic reference record in an offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and a topic reference record of offline target topic processing equipment in the offline session interaction environment;

and determining the topic reference record of the target hotspot topic in the online target social topic according to the topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interactive environment and the preference updating condition of the topic tracking item between the online conversation interactive environment and the offline conversation interactive environment.

Preferably, determining an offline topic reference record of the target hotspot topic in the offline session interaction environment according to a topic reference record of the target hotspot topic in the online template social topic, a preference update condition of a topic tracking item between the online session interaction environment and the offline session interaction environment, and a topic reference record of the offline template topic processing device in the offline session interaction environment, includes:

determining a topic reference record of a target hot topic in an offline template social topic under the offline conversation interaction environment according to a topic reference record of the target hot topic in the online template social topic and a preference updating condition of a topic tracking item between the online conversation interaction environment and the offline conversation interaction environment;

determining a hot topic log to which a topic reference record of offline template topic processing equipment in an offline session interaction environment and a topic reference record of a target hot topic in an offline template social topic in the offline session interaction environment belong as a template hot topic log, wherein the topic identification modes of the offline template topic processing equipment and the online template topic processing equipment are the same;

and determining an offline theme reference record of the target hotspot theme in the offline session interaction environment according to the log text difference between the template hotspot theme log and the significant hotspot theme log in the offline session interaction environment.

Preferably, determining a topic reference record in an offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and a topic reference record of an offline target topic processing device in the offline session interaction environment includes:

determining a hot topic log to which the topic reference record of the target hot topic under an offline session interaction environment and the topic reference record of the offline target topic processing equipment under the offline session interaction environment belong as a target hot topic log, wherein the topic identification modes of the offline target topic processing equipment and the online target topic processing equipment are the same;

and determining a topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interaction environment according to the difference between the target hotspot topic log and the log text of the device operation record of the offline target topic processing device under the offline conversation interaction environment.

Preferably, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, includes:

determining a multi-end dynamic tracking topic of the target hot topic in the online template social topic as a hot tracking preference topic of template social data according to a topic reference record of the target hot topic in the online template social topic and topic summarizing index information of a first preset topic reference record;

determining a multi-end dynamic tracking topic of the target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online target social topic and topic summarizing index information of a second preset topic reference record, wherein the multi-end dynamic tracking topic is used as a hot tracking preference topic of target social data;

taking the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as hotspot tracking preference topics of target hotspot topics in an online conversation interaction environment;

the method for using the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in the online conversation interaction environment comprises the following steps:

determining word vector distance of preference keyword information between the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data;

and if the word vector distance of the preference keyword information is greater than the first set word vector distance, taking the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in the online conversation interaction environment.

Preferably, the method further comprises: and tracking the hot topic to be tracked by adopting an optimized hot topic tracking mode.

Preferably, the tracking the hot topic to be tracked by adopting the optimized hot topic tracking mode includes:

acquiring first and second hot topic tracking indications corresponding to the optimized hot topic tracking mode, wherein the first hot topic tracking indication is a distributed hot topic tracking indication, the second hot topic tracking indication is a streaming hot topic tracking indication, and the update activation information of the first and second hot topic tracking indications comprises a hot topic tracking occupation ratio;

performing intermodulation on one or more groups of tracking indication information on the first hot spot subject tracking indication and the second hot spot subject tracking indication respectively to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

respectively optimizing hotspot subject tracking occupation ratios in the updated activation information of the first target tracking indication and the second target tracking indication based on the intermodulation tracking indication information in the first target tracking indication and the second target tracking indication and the corresponding quantitative statistical information of all tracking indication information, wherein the intermodulation tracking indication information in the first target tracking indication and the second target tracking indication is respectively regarded as the second hotspot subject tracking indication information and the first hotspot subject tracking indication information; tracking the hot topic to be tracked based on the first and second hot topic tracking instructions and the first and second target tracking instructions to obtain a latest hot topic after tracking;

wherein the inter-modulating one or more sets of tracking indication information for the first hot spot topic tracking indication and the second hot spot topic tracking indication respectively to obtain a first target tracking indication corresponding to the first hot spot topic tracking indication and a second target tracking indication corresponding to the second hot spot topic tracking indication includes:

determining a first hotspot subject tracking indication and a second hotspot subject tracking indication which need intermodulation tracking indication information;

intermodulation of one or more groups of tracking indication information of the same category in the first hot spot subject tracking indication and the second hot spot subject tracking indication to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

the optimizing hot spot theme tracking ratio in the updated activation information of the first and second target tracking indications respectively based on the intermodulation tracking indication information in the first and second target tracking indications and the corresponding quantitative statistical information of all the tracking indication information includes:

determining first hotspot subject tracking indication information which is not intermodulation in the first target tracking indication and first tracking indication information quantization statistical information of the first target tracking indication based on the intermodulation tracking indication information in the first target tracking indication;

optimizing hotspot subject tracking proportion of the first target tracking indication based on first tracking indication information quantitative statistical information of the first target tracking indication;

determining tracking indication information subjected to intermodulation in the second target tracking indication and quantization statistical information of the second target tracking indication, and taking the quantization statistical information as first tracking indication information quantization statistical information of the second target tracking indication;

optimizing hotspot subject tracking occupation ratio of the second target tracking indication based on first tracking indication information quantitative statistical information of the second target tracking indication;

wherein, intermodulation of one or more sets of tracking indication information of the same category in the first hotspot topic tracking indication and the second hotspot topic tracking indication to obtain a first target tracking indication corresponding to the first hotspot topic tracking indication and a second target tracking indication corresponding to the second hotspot topic tracking indication includes:

decomposing the first hot spot theme tracing instruction and the second hot spot theme tracing instruction into tracing instruction information groups with consistent number according to the same condition decomposing mode;

selecting one or more than one tracking indication information groups in the same category from the first hot spot subject tracking indication and the second hot spot subject tracking indication to perform intermodulation, so as to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication;

wherein, the selecting one or more tracking indication information sets located in the same grouping area from the first hot spot topic tracking indication and the second hot spot topic tracking indication to perform intermodulation, so as to obtain a first target tracking indication corresponding to the first hot spot topic tracking indication and a second target tracking indication corresponding to the second hot spot topic tracking indication, includes:

randomly selecting a value from a preset value interval as the inter-modulation number of the tracking indication information group of the first hot spot subject tracking indication and the second hot spot subject tracking indication;

calibrating the tracking indication information groups of the first and second hot spot theme tracking indications to obtain a tracking indication information calibration queue;

randomly setting a queue grouping area calibrated in the tracking indication information calibration queue to obtain a randomly set tracking indication information calibration queue;

selecting the calibration of the intermodulation number of the tracking indication information group from the randomly set tracking indication information calibration queue as an intermodulation mark;

and intermodulation tracking indication information groups indicated by the intermodulation marks in the first hotspot subject tracking indication and the second hotspot subject tracking indication to obtain a first target tracking indication corresponding to the first hotspot subject tracking indication and a second target tracking indication corresponding to the second hotspot subject tracking indication.

The second embodiment of the present application provides a topic server, which includes a processing engine, a network module and a memory; the processing engine and the memory communicate through the network module, and the processing engine reads the computer program from the memory and operates to perform the above-described method.

In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.

Drawings

The present application will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is a first flowchart of an exemplary artificial intelligence based big data hot topic processing method and/or process, shown in accordance with some embodiments of the present application;

FIG. 2 is a second flowchart of an exemplary artificial intelligence based big data hot topic processing method and/or process, shown in accordance with some embodiments of the present application, and

fig. 3 is a schematic diagram of hardware and software components in an exemplary topic server shown in accordance with some embodiments of the present application.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that for a person skilled in the art, without inventive step, the present application can also be applied to other similar scenarios according to these drawings. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.

As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.

For the technical problems in the background art, the inventor purposefully provides a big data hot topic processing method and a topic server based on artificial intelligence,

first, an exemplary description is given to an artificial intelligence based big data hot topic processing method, please refer to fig. 1, which is a flowchart of an exemplary artificial intelligence based big data hot topic processing method and/or process shown in some embodiments of the present application, where the artificial intelligence based big data hot topic processing method may include the technical solutions described in the following S110 and S120, and the technical solutions may be applied to a topic server, and the topic server is in communication connection with an online template topic processing device and an online target topic processing device.

S110, respectively carrying out session interaction analysis on a target hot topic under different session interaction environments based on the online template topic processing equipment and the online target topic processing equipment so as to obtain a hot tracking preference topic corresponding to the target hot topic.

S120, determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

It can be understood that, through the above S110 and S120, it can be ensured that the session preference in the actual hot topic tracking and positioning scene can be matched after the hot topic to be tracked is continuously tracked in the hot topic tracking manner.

Further, the further description of S110 and S120 may refer to the following alternative embodiments, which should be understood as examples and should not be understood as technical features essential for implementing the present solution.

Fig. 2 is a flowchart of a big data hot topic processing method based on artificial intelligence according to another embodiment of the present application. The optimization is carried out on the basis of the above embodiments, and details which are not described in detail in the present embodiment are described in the above embodiments. Referring to fig. 2, the big data hot topic processing method based on artificial intelligence provided in this embodiment may include the following contents.

S210, acquiring an online template social topic identified by online template topic processing equipment in an online conversation interaction environment and an online target social topic identified by online target topic processing equipment in the online conversation interaction environment, wherein the topic identification modes of the online template topic processing equipment and the online target topic processing equipment are different.

The online conversation interactive environment is an effective conversation interactive environment of online topic processing equipment in an operating environment, and the online topic processing equipment is a digital intelligent terminal which actually exists and is used for carrying out topic identification on the online conversation interactive environment, such as a digital intelligent terminal of an intelligent computer, a portable intelligent computer and the like. In the embodiment of the application, the number of the online topic processing devices is at least two, and the online topic processing devices include an online template topic processing device and an online target topic processing device, and the topic identification modes of the online template topic processing device and the online target topic processing device are different. Under the online conversation interaction environment, the topic identified by the online template topic processing equipment is an online template social topic, and the topic identified by the online target topic processing equipment is an online target social topic.

S220, determining a topic reference record of the target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online template social topic, a preference updating condition of a topic tracking item between an online conversation interaction environment and an offline conversation interaction environment, a topic reference record of an offline template topic processing device under the offline conversation interaction environment and a topic reference record of an offline target topic processing device under the offline conversation interaction environment.

The target hotspot theme is a hotspot theme existing in an online session interaction environment, and can be a hotspot theme currently in an inactive state or a hotspot theme currently in an active state. In the hotspot topic tracking technology, a target hotspot topic can be selected as the hotspot topic in an activated state, so that the target hotspot topic is processed when the target hotspot topic is in the activated state, and the hotspot topic in an inactivated state is not processed. The preference updating condition of the topic tracking item is the user preference information corresponding to the topic tracking keyword in each social topic of the target hotspot topic in the online conversation interactive environment and the change information of the user preference information corresponding to the topic tracking keyword in each social topic in the offline conversation interactive environment.

The offline session interaction environment may be local offline session interaction environment information or global offline session interaction environment information, and exemplarily, global offline session interaction environment information may be generated for the online session interaction environment based on network delay to form an offline session interaction environment, or global offline session interaction environment information may be generated for the online session interaction environment based on any environment keyword to form an offline session interaction environment. The effective topic reference records, the digital communication protocol, the system data form and the behavior function index of the offline topic processing equipment and the online topic processing equipment are completely consistent, so that the topic identification process of each offline topic processing equipment is consistent with the topic identification process of the corresponding online topic processing equipment. The number of the off-line topic processing devices is at least two, the off-line topic processing devices comprise off-line template topic processing devices and off-line target topic processing devices, and the topic identification modes of the off-line template topic processing devices and the off-line target topic processing devices are different. The topic identification modes of the online template topic processing device and the offline template topic processing device are the same, and the topic identification modes of the online target topic processing device and the offline target topic processing device are the same. The template social topic is a topic identified by the online template topic processing device in an online conversation interaction environment.

Specifically, in the hot topic tracking technology, taking a target hot topic as an example, when the target hot topic is tracked uninterruptedly, social topics of the target hot topic in other interactive environments need to be obtained according to mutual topics of the target hot topic in one interactive environment, so in the process of optimizing a hot topic tracking mode, different social topics corresponding to the target hot topic need to be obtained, so that the hot topic tracking mode is optimized flexibly and accurately. However, in the related technical solutions, it is necessary to manually monitor and analyze user preference information of a target hotspot topic in different social topics, which corresponds to a topic tracking keyword, so as to further obtain different social topics of the target hotspot topic, and this solution can only achieve optimization of a hotspot topic tracking mode before application of the hotspot topic tracking mode, but cannot achieve automatic, fast and flexible optimization in an application process of the hotspot topic tracking mode, so that timeliness of optimization of the hotspot topic tracking mode is low, and the hotspot topic tracking mode cannot be optimized online in the application process to improve timeliness and accuracy of the hotspot topic tracking mode, so that it is difficult to meet requirements on use of a hotspot topic tracked and obtained based on the hotspot topic tracking mode in different session interaction environments. Therefore, in the embodiment of the present application, it is only necessary to obtain the online template social topic identified by the online template topic processing device in the online session interaction environment and the online target social topic identified by the online target topic processing device in the online session interaction environment without manually obtaining each social topic of the target hotspot topic, and it is possible to determine the topic citation record of the target hotspot topic in the online target social topic by using the preference update condition of the topic tracking item between the online session interaction environment and the offline session interaction environment, the topic citation record of the offline template topic processing device in the offline session interaction environment and the topic citation record of the offline target topic processing device in the offline session interaction environment, thereby further determining different social topics of the target hotspot topic in the online session interaction environment, and further optimizing the hot topic tracking mode. Therefore, after the hot topic to be tracked is tracked in a hot topic tracking mode in the later period, the tracked hot topic can meet the subsequent user session preference, and the phenomenon that the hot topic is not adaptive when a topic user participates in the subsequent topic social interaction is avoided.

S230, according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment.

Optionally, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, includes: determining a multi-end dynamic tracking topic of the target hot topic in the online template social topic as a hot tracking preference topic of template social data according to a topic reference record of the target hot topic in the online template social topic and topic summarizing index information of a first preset topic reference record; determining a multi-end dynamic tracking topic of the target hot topic in the online target social topic according to a topic reference record of the target hot topic in the online target social topic and topic summarizing index information of a second preset topic reference record, wherein the multi-end dynamic tracking topic is used as a hot tracking preference topic of target social data; and taking the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in an online conversation interaction environment.

Specifically, according to the topic reference record of the target hotspot topic in the online template social topic, topic summarizing index information of a first preset topic reference record, for example, a topic summarizing index based on a time sequence, is set, and topics included in the topic summarizing index based on the time sequence are used as multi-end dynamic tracking topics of the target hotspot topic in the online template social topic and are used as hotspot tracking preference topics of template social data.

Optionally, according to the topic citation record of the target hotspot topic in the online target social topic, determining that the statistical condition of the topic citation record of the target hotspot topic in the online target social topic meets the multi-end dynamic tracking topic of the single hotspot topic of the topic summary index information of the second preset topic citation record as the multi-end dynamic tracking topic of the target hotspot topic in the online target social topic, and using the multi-end dynamic tracking topic as the hotspot tracking preference topic of the target social data. Optionally, according to the topic reference record of the target hotspot topic in the online target social topic, determining that a statistical condition of the topic reference record of the target hotspot topic in the online target social topic meets an undetermined multi-terminal dynamic tracking topic of a plurality of hotspot topics of the topic summary index information of the second preset topic reference record, and further determining a multi-terminal dynamic tracking topic of the target hotspot topic in the online target social topic in the undetermined multi-terminal dynamic tracking topics of the plurality of target hotspot topics as the hotspot tracking preference topic of the target social data according to the undetermined multi-terminal dynamic tracking topic of the plurality of target hotspot topics and a word vector distance of preference keyword information of the hotspot tracking preference topic of the template social data. Still optionally, the multi-end dynamically tracked topic corresponding to the statistical Condition content and the statistical Condition content in the preset topic summary index information is taken as a target social topic of the target hotspot topic in the online conversation interaction environment, for example, when the online template social topic and the online target social topic are hot topics, it is determined that the target hotspot topic refers to and records a statistical Condition1 corresponding to a topic-local environment, the target hotspot topic refers to and records a statistical Condition2 of a topic-global environment, the social participation object Condition of the template social topic is Condition-object, and the topic confidence Condition is Condition-confidence, so as to obtain a Condition { Condition1/Condition-object, Condition 2/Condition-confidence }, of the target hotspot topic reference Condition. For example, the Condition that the globality of the reference Condition is determined to be { Condition _ aaa, Condition _ bbb } according to the topic reference record of the target hotspot topic in the target social topic under the online session interaction environment, the thread environment description representing the behavior function call environment in the identified topic thread of the online topic processing device may be determined based on Condition _ aaa, and the thread environment description representing the topic activation state in the identified topic thread of the online topic processing device may be determined based on Condition _ bbb, so as to obtain the topic reference record of the statistical Condition content, and further obtain the hotspot tracking preference topic of the target social data.

In another specific embodiment of the present application, after the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data are obtained, further judgment may be performed to determine whether the hotspot tracking preference topic is different social topics of the same target hotspot topic, and if the hotspot tracking preference topics belong to different social topics of the same target hotspot topic, the hotspot tracking preference topic is determined as the hotspot tracking preference topic of the target hotspot topic in the online conversation interaction environment, so as to optimize a hotspot topic tracking manner according to the hotspot tracking preference topic.

S240, determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

The hot topic tracking mode can be based on local feature learning and other modes, global hot topic features and local hot topic features are combined, overall preference portrait features of hot tracking preference topics are analyzed through the global hot topic features, deep-level contents which are as detailed as possible are analyzed through the relevance among the local hot topic features, a more refined model network is finally generated, and the hot topic tracking mode can also be generated based on artificial intelligence and machine learning. For example, if the tracking target is a visual hotspot, the following characteristics are required for the training sample for network training: the data scale of the sample training set is very small, the influence factors are complex and various, the data is generally global conversation process information of some conversation scenes, and as many groups of visualization hotspot maps as possible exist in the same visualization hotspot. Since the hot topic tracking mode is influenced by various topic difference factors, the training process needs to improve the influence of various factors. The condition for evaluating the hot topic tracking mode mainly comprises a prior test rate and a global accuracy mean value, wherein the prior test rate is used for judging whether a first hot topic tracking preference topic is corresponding to the visual hot spot, the global accuracy mean value reflects the degree of the target hot topic in all effective visual hot spots corresponding to the target hot topic in front of a hot topic sequence, and the hot topic tracking instantaneity of the hot topic tracking mode can be comprehensively embodied. Specifically, in the hot topic tracking technology, a hot topic tracking mode is generated in advance, and the hot topic tracking mode can be used for tracking a hot topic to be tracked so as to obtain the latest hot topic of the hot topic to be tracked and ensure that the hot topic to be tracked matches with subsequent session preferences, thereby providing a complete, online and reliable data base for subsequent topic tracking.

Optionally, automatic optimization of the hotspot topic tracking mode can be completed in practical application. Illustratively, tracking a hot spot subject to be tracked in a current hot spot subject tracking manner to obtain a template social topic social _ topic1 and a target social topic social _ topic2 of the hot spot subject to be tracked, further determining a hot spot tracking preference topic of the hot spot subject to be tracked, transmitting the hot spot tracking preference topic to the hot spot subject tracking manner, performing manner guidance information modification on the hot spot subject tracking manner to realize optimization, tracking the hot spot subject to be tracked based on the optimized uninterrupted tracking manner to obtain a current template social topic social _ topic3 and a target social topic social _ topic4 of the hot spot subject to be tracked, where the template social topic is a topic determined to be corresponding to the hot spot subject to be tracked, and the obtained again for the current template social topic of the hot spot subject to be tracked may be the same as or different from the last obtained template social topic, that is the current template social topic of the hot spot subject to be tracked, namely, the obtained for the current template social topic to be tracked may be social topic social _ topic social of social topic of social _ topic to be social _ topic of social _ of the hot _ social _ subject is 3, or social _ topic1, further determining that the hotspot tracking preference topic optimizes the hotspot topic tracking mode, and performing circular tracking optimization on the hotspot topic tracking mode according to the scheme, thereby realizing an automatic adaptive learning improvement process of the hotspot topic tracking mode. Therefore, the hot topic tracking mode can be automatically matched with an actual topic tracking item, so that the hot topic tracking mode can be adaptively optimized and tracked along with the change of the preference of the online topic tracking item, and the hot topic tracked based on the hot topic tracking mode can meet the preference of a follow-up topic tracking session.

In the embodiment of the application, an online template social topic and an online target social topic in an online conversation interaction environment are obtained, according to a topic citation record of a target hot topic in the online template social topic, a preference updating condition of a topic tracking item between the online conversation interaction environment and the offline conversation interaction environment, a topic citation record of an offline template topic processing device in the offline conversation interaction environment and a topic citation record of an offline target topic processing device in the offline conversation interaction environment, the topic citation record of the target hot topic in the online target social topic is determined, a hot tracking preference topic of the target hot topic in the online conversation interaction environment is determined, and a hot topic tracking mode is optimized according to a hot tracking preference topic determination mode optimization condition. According to the scheme, different social topics of the target hot topic are intelligently acquired in the process of optimizing the hot topic tracking mode, so that the hot topic tracking mode is automatically and online optimized, manual monitoring and hot tracking preference topics are not needed, the accuracy of identifying different social topics of the target hot topic is improved, the latest session preference corresponding to the session preference topic in the hot tracking state is considered in optimizing the hot topic tracking mode, the efficiency and the accuracy of optimizing the hot topic tracking mode can be ensured, and the session preference in an actual hot topic tracking and positioning scene can be matched after the hot topic to be tracked is continuously tracked in the hot topic tracking mode.

The following is the content of a big data hot topic processing method based on artificial intelligence provided by another embodiment of the present application. Modifications are made on the basis of the above embodiments, and details which are not described in detail in this embodiment are described in the above embodiments. Further, the big data hot topic processing method based on artificial intelligence provided by the embodiment may include the following contents.

S310, determining an offline topic reference record of the target hot topic in the offline conversation interaction environment according to the topic reference record of the target hot topic in the online template social topic, the preference updating condition of the topic tracking item between the online conversation interaction environment and the offline conversation interaction environment and the topic reference record of the offline template topic processing device in the offline conversation interaction environment.

Specifically, the scheme for manually acquiring the social topics changing online is low in efficiency, and the accuracy of the manual acquisition is low, so in the embodiment of the application, each social topic of the target hotspot topic in the online conversation interaction environment does not need to be manually acquired, but only the online template social topic of the target hotspot topic in the online conversation interaction environment is acquired, the topic citation record of the target hotspot topic in the template social topic in the online conversation interaction environment is determined, and the offline topic citation record of the target hotspot topic in the offline conversation interaction environment is determined by further combining the topic citation record of the offline template topic processing device in the offline conversation interaction environment. The specific static topic citation record of the offline topic citation record in the offline session interaction environment is relatively stable and cannot change due to disturbance influence of the social topics of the offline topic processing equipment, so that the topic citation record of the target hotspot topic in the online target social topic determined based on the offline topic citation record of the target hotspot topic in the offline session interaction environment has high accuracy. According to the scheme in the embodiment of the application, only the online template social topics of the target hotspot topics under the online conversation interaction environment need to be acquired, and each social topic does not need to be identified manually, so that the efficiency and the accuracy of acquiring the social topics are improved.

Further, determining an offline topic reference record of the target hotspot topic in the offline session interaction environment according to a topic reference record of the target hotspot topic in the online template social topic, a preference update condition of a topic tracking item between the online session interaction environment and the offline session interaction environment, and a topic reference record of the offline template topic processing device in the offline session interaction environment, includes: determining a topic reference record of a target hot topic in an offline template social topic under the offline conversation interaction environment according to a topic reference record of the target hot topic in the online template social topic and a preference updating condition of a topic tracking item between the online conversation interaction environment and the offline conversation interaction environment; determining a hot topic log to which a topic reference record of offline template topic processing equipment in an offline session interaction environment and a topic reference record of a target hot topic in an offline template social topic in the offline session interaction environment belong as a template hot topic log, wherein the topic identification modes of the offline template topic processing equipment and the online template topic processing equipment are the same; and determining an offline theme reference record of the target hotspot theme in the offline session interaction environment according to the log text difference between the template hotspot theme log and the significant hotspot theme log in the offline session interaction environment.

S320, determining a topic reference record in the offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and the topic reference record of the offline target topic processing equipment in the offline session interaction environment.

The topic reference record of the target hotspot topic in the offline target social topic under the offline session interaction environment can call path content for the actual topic of the target hotspot topic in the online target social topic, and can also be global tracking indication information of the reference condition. The global tracking indication information of the reference condition is a comparison result of the statistical conditions of the topic reference record of the target hot topic in the online target social topic and other hot topics and the reference condition of the topic reference record of the target social topic.

Specifically, when a multi-end dynamic tracking topic of the target hot topic in the online target social topic is to be acquired, a topic reference record of the target hot topic in the online target social topic needs to be determined through a topic reference record of the target hot topic in the online template social topic. Therefore, after determining the offline topic reference record of the target hotspot topic in the offline session interaction environment, according to the offline topic reference record and the topic reference record of the offline target topic processing device in the offline session interaction environment, according to the topic identification principle of the topic processing device in the offline session interaction environment, determining the topic interaction record of the target hotspot topic in the offline session interaction environment, and further according to the topic interaction record, determining the topic reference record of the target hotspot topic in the online target social topic.

Further, determining a topic reference record in an offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and a topic reference record of an offline target topic processing device in the offline session interaction environment, includes: determining a hot topic log to which the topic reference record of the target hot topic under an offline session interaction environment and the topic reference record of the offline target topic processing equipment under the offline session interaction environment belong as a target hot topic log, wherein the topic identification modes of the offline target topic processing equipment and the online target topic processing equipment are the same; and determining a topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interaction environment according to the difference between the target hotspot topic log and the log text of the device operation record of the offline target topic processing device under the offline conversation interaction environment.

S330, determining a topic reference record of the target hot topic in the online target social topic according to the topic reference record of the target hot topic in the offline target social topic under the offline conversation interaction environment and the preference updating condition of the topic tracking item between the online conversation interaction environment and the offline conversation interaction environment.

Specifically, when a hot topic tracking technology is applied to track a target hot topic, each social topic of the target hot topic needs to be acquired according to a reference interactive topic of the target hot topic, so as to track the target hot topic, and therefore, when a hot topic tracking mode is trained and optimized, a target social topic corresponding to the target hot topic needs to be determined in a plurality of social topics, and the target social topic tracking mode needs to be optimized as a mode optimization condition to improve the session block adaptability of the hot topic tracking. In the embodiment of the application, according to the topic citation record of the target hotspot topic in the target social topic under the online conversation interaction environment, the topic citation record of the target hotspot topic in the online target social topic is determined, so that the multi-end dynamic tracking topic of the target hotspot topic in the online target social topic is determined.

S340, according to the topic reference record of the target hotspot topic in the online template social topic, the topic reference record of the target hotspot topic in the online target social topic, the online template social topic and the online target social topic, determining a hotspot tracking preference topic of the target hotspot topic in an online session interaction environment.

S350, determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

According to the technical scheme of the embodiment of the application, the offline topic citation record of the target hot topic in the offline conversation interaction environment is determined according to the topic citation record of the target hot topic in the online template social topic, the preference updating condition of the topic tracking item between the online conversation interaction environment and the offline conversation interaction environment and the topic citation record of the offline template topic processing equipment in the offline conversation interaction environment; determining a topic reference record in an offline target social topic of the target hotspot topic in the offline session interaction environment according to the offline topic reference record of the target hotspot topic in the offline session interaction environment and a topic reference record of offline target topic processing equipment in the offline session interaction environment; and determining the topic reference record of the target hotspot topic in the online target social topic according to the topic reference record of the target hotspot topic in the offline target social topic under the offline conversation interactive environment and the preference updating condition of the topic tracking item between the online conversation interactive environment and the offline conversation interactive environment. According to the scheme, through accurate topic reference record analysis between the online conversation interactive environment and the offline conversation interactive environment, the social topics of the target hot topics under different interactive environments are intelligently obtained, manual monitoring and identification are not needed, the accuracy and the integrity of multi-social topic identification are improved, the efficiency, the accuracy and the timeliness of hot topic tracking mode optimization are improved, and the conversation preference under the actual hot topic tracking and positioning scene can be matched after the hot topics to be tracked are continuously tracked in the hot topic tracking mode.

Further, the following provides an implementation of a big data hot topic processing method based on artificial intelligence for yet another embodiment of the present application. The present embodiment is optimized based on the above embodiments, and details not described in detail in the present embodiment are described in the above embodiments. The big data hot topic processing method based on artificial intelligence provided by the embodiment can comprise the following steps.

S401, determining multi-end dynamic tracking topics of the target hot topic in the online template social topics, and selecting and mining topic keywords from the multi-end dynamic tracking topics.

Wherein the template social topic is identified by an online template topic processing device in an online conversation interaction environment.

Specifically, in the hotspot topic tracking technology, a specific target hotspot topic needs to be tracked, so that the target hotspot topic needs to be determined in the template social topic. Determining multi-end dynamic tracking topics in template social topics of a target hot topic in an online conversation interactive environment, and further selecting mining topic keywords from the multi-end dynamic tracking topics, wherein the mining topic keywords can be hot keywords of the multi-end dynamic tracking topics and cold keywords of the multi-end dynamic tracking topics, so that the mining topic keywords can be selected and tracked conveniently. And determining a multi-end dynamic tracking topic of the target hot topic in the online template social topic as a hot tracking preference topic of the template social data according to the topic reference record of the target hot topic in the online template social topic and the topic summarizing index information of the first preset topic reference record.

Optionally, before determining a multi-end dynamic tracking topic in the template social topics under the online session interaction environment and selecting and mining topic keywords from the multi-end dynamic tracking topic, the method further includes: the online template social topics identified by the online template topic processing equipment in the online conversation interaction environment and the online target social topics identified by the online target topic processing equipment in the online conversation interaction environment are obtained.

Specifically, when the hot topic tracking technology is used for tracking the hot topic, the hot topic tracking technology in the embodiment of the application can intelligently acquire the online template social topic and the online target social topic in the online conversation interaction environment without manual acquisition, so that the processing efficiency of the social topic is improved, the online template social topic and the online target social topic of the selected target hot topic in the online conversation interaction environment are acquired, the summary index of the topic topics is matched with the target hot topic, and the online and comprehensive tracking of the hot topic to be tracked is realized in a targeted manner.

S402, determining a topic reference record of the mining topic keywords in the online template social topic according to the statistical conditions of the mining topic keywords and the online template social topic environment, wherein the topic reference record is used as a topic reference record of the target hotspot topic in the online template social topic.

Specifically, the statistical conditions of the mining topic keywords and the social topic environment of the online template are determined, so that the topic reference records of the mining topic keywords in the social topic of the online template are determined.

Illustratively, when the online template social topic is a hot topic, determining a statistical Condition1 for mining a topic keyword to an environment local to the online template social topic, determining a statistical Condition2 for mining a topic keyword to an environment global to the online template social topic, determining a social participation object Condition of the online template social topic as Condition-object, and determining a topic confidence Condition as Condition _ confidence, so that a topic reference record of the target hotspot topic in the online template social topic can be determined based on the Condition1, the Condition2, the Condition-object and the Condition _ confidence.

S403, determining an offline topic reference record of the target hotspot topic in the offline conversation interaction environment according to the topic reference record of the target hotspot topic in the online template social topic, the preference updating condition of the topic tracking item between the online conversation interaction environment and the offline conversation interaction environment and the topic reference record of the offline template topic processing device in the offline conversation interaction environment.

S404, determining a topic reference record in the offline target social topic of the target hotspot topic in the offline session interaction environment according to the topic reference record of the target hotspot topic in the offline session interaction environment and the topic reference record of the offline target topic processing device in the offline session interaction environment.

S405, determining a topic reference record of the target hot topic in the online target social topic according to the topic reference record of the target hot topic in the offline target social topic under the offline conversation interaction environment and the preference updating condition of a topic tracking item between the online conversation interaction environment and the offline conversation interaction environment.

S406, determining a multi-end dynamic tracking topic of the target hot topic in the online target social topic according to the topic reference record of the target hot topic in the online target social topic and topic summarizing index information of a first preset topic reference record, and using the multi-end dynamic tracking topic as a hot tracking preference topic of target social data.

S407, determining a multi-end dynamic tracking topic of the target hot topic in the online template social topic according to the topic reference record of the target hot topic in the online template social topic and topic summarizing index information of a second preset topic reference record, and using the multi-end dynamic tracking topic as a hot tracking preference topic of the template social data.

S408, determining word vector distance of preference keyword information between the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data.

S409, if the word vector distance of the preference keyword information is larger than a first set word vector distance, using the hotspot tracking preference topic of the template social data and the hotspot tracking preference topic of the target social data as the hotspot tracking preference topics of the target hotspot topics in an online conversation interaction environment.

The preset set word vector distance is set by related technicians according to actual conditions, if the word vector distance of the preference keyword information is larger than the first preset set word vector distance, the hot spot tracking preference topic of the template social data and the hot spot tracking preference topic of the target social data are different social topics corresponding to the same target hot spot topic, and the hot spot tracking preference topic of the template social data and the hot spot tracking preference topic of the target social data are used as the hot spot tracking preference topics of the same target hot spot topic.

S410, topic content analysis is carried out on the hotspot tracking preference topic to obtain a preference keyword set corresponding to the hotspot tracking preference, conversation preference information corresponding to a current conversation plate is determined through the preference keyword set, the conversation preference information is transmitted to a hotspot topic tracking network corresponding to a hotspot topic tracking mode, and the word vector distance of any two preference keyword information in a plurality of hotspot tracking preference keyword information output by a topic tracking unit of the hotspot topic tracking network is larger than a second set word vector distance by modifying network parameters of a mode guiding unit in the hotspot topic tracking network.

Specifically, because the similarity of the preference keyword information of the hotspot tracking preference topic corresponding to the introduced session preference information meets the similarity requirement of the hotspot tracking preference topic corresponding to the same target hotspot topic, different social topics which are the same target hotspot topic can be determined, the session preference information is introduced into the hotspot topic tracking network corresponding to the hotspot topic tracking mode, if the similarity of the preference keyword information output by the corresponding hotspot topic tracking network is lower than a second set word vector distance, the session plate adaptability of the hotspot topic tracking in the hotspot topic tracking mode is low, and therefore the network parameters of the mode guide unit in the hotspot topic tracking network are modified, so that the word vector distance of the preference keyword information of the hotspot tracking preference topic determined by the corresponding hotspot topic tracking network is greater than the second preset word vector distance, the session plate adaptability of the hot spot theme tracking in a hot spot theme tracking mode is improved. Optionally, the second set word vector distance may be equal to or greater than the first set word vector distance, so as to improve the topic scene adaptability of the hotspot topic tracking manner.

Optionally, after modifying the network parameters of the mode guidance unit in the hotspot topic tracking network to improve the adaptability of the session block for hotspot topic tracking in the hotspot topic tracking mode, the target hotspot topic may be continuously tracked in the hotspot topic tracking mode to obtain the social topic including the target hotspot topic, which is obtained by other interactive topic processing devices. Further determining an online template social topic from the social topics, determining a topic citation record of a target hotspot topic in the online target social topic according to a topic citation record of the target hotspot topic in online template interaction according to the scheme of the embodiment of the application, determining a hotspot tracking preference topic of the target hotspot topic in an online conversation interaction environment, optimizing a hotspot topic tracking mode as a mode optimization condition, realizing an adaptive learning improvement process of the hotspot topic tracking mode, and continuously improving the conversation plate adaptability of the hotspot topic tracking mode.

According to the technical scheme, the specific topic citation record of the target hot topic is accurately determined by mining the determination of the topic keywords and the determination of the topic citation record, and the multi-end dynamic topic tracking of the target hot topic in the online target social topic is convenient to determine. The hot spot tracking preference topic of the template social data and the word vector distance of the preference keyword information of the hot spot tracking preference topic of the target social data are determined, the hot spot tracking preference topic is determined according to the word vector distance of the preference keyword information and is used as a mode optimization condition, an accurate hot spot topic tracking mode is further obtained, and the session plate adaptability of hot spot topic tracking of the hot spot topic tracking mode is improved.

It can be understood that after the adaptive optimization of the hot spot topic tracking mode is realized based on the above technical solution, a technical solution for tracking the hot spot topic to be tracked may also be included. Based on this, on the basis of the above technical solution, the following contents may also be included: and tracking the hot topic to be tracked by adopting an optimized hot topic tracking mode. Further, in order to ensure high adaptability of the hotspot theme tracking to the actual public sentiment environment on the premise of improving efficiency of the hotspot theme tracking, different tracking instructions need to be adaptively optimized, and for this reason, the hotspot theme to be tracked is tracked in an optimized hotspot theme tracking manner, which may further include the following contents described in S510-S540.

S510, obtaining first and second hot topic tracking instructions corresponding to the optimized hot topic tracking mode, wherein the first hot topic tracking instruction is a distributed hot topic tracking instruction, the second hot topic tracking instruction is a streaming hot topic tracking instruction, and the update activation information of the first and second hot topic tracking instructions comprises hot topic tracking occupation ratio.

In the embodiment of the application, for example, the distributed hot topic tracking indicates a speed corresponding to the hot topic tracking, the streaming hot topic tracking indicates a session plate adaptability corresponding to the hot topic tracking, the update activation information is used for representing when to track the hot topic, and the hot topic tracking occupies a range used for representing the hot topic to be tracked.

For example, the hot topic to be tracked includes a topic sequence { iportant _ issues1, iportant _ issues2, iportant _ issues 3. If the hot topic tracking percentage is x%, the sequence of the tracking topics corresponding to the hot topics to be tracked may be { iportant _ issues1,.. iportant _ issuesi x% }, it should be understood that iportant _ issuesi is used to distinguish different topic blocks or topic sets, and is not limited to the hot topics to be tracked.

Therefore, by determining the hot topic tracking instructions of different levels aiming at the hot topic tracking, global analysis can be conveniently carried out on the hot topic tracking instructions, so that the tracking instructions are optimized, and high adaptability of the hot topic tracking and the actual public sentiment environment is ensured on the premise of improving the efficiency of the hot topic tracking.

S520, performing intermodulation on one or more groups of tracking indication information on the first hot spot subject tracking indication and the second hot spot subject tracking indication respectively to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication.

In an independent implementation, the inter-modulating one or more sets of trace indication information for the first hot topic trace indication and the second hot topic trace indication respectively to obtain a first target trace indication corresponding to the first hot topic trace indication and a second target trace indication corresponding to the second hot topic trace indication includes: determining a first hotspot subject tracking indication and a second hotspot subject tracking indication which need intermodulation tracking indication information; and performing intermodulation on one or more groups of tracking indication information with the same category in the first hot spot subject tracking indication and the second hot spot subject tracking indication to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication.

Further, the intermodulation of one or more sets of tracking indication information of the same category in the first hotspot topic tracking indication and the second hotspot topic tracking indication to obtain a first target tracking indication corresponding to the first hotspot topic tracking indication and a second target tracking indication corresponding to the second hotspot topic tracking indication includes: decomposing the first hot spot theme tracing instruction and the second hot spot theme tracing instruction into tracing instruction information groups with consistent number according to the same condition decomposing mode; and selecting one or more than one group of tracking indication information groups in the same category from the first hot spot subject tracking indication and the second hot spot subject tracking indication to carry out intermodulation, so as to obtain a first target tracking indication corresponding to the first hot spot subject tracking indication and a second target tracking indication corresponding to the second hot spot subject tracking indication.

Further, the selecting one or more tracking indication information sets located in the same grouping area from the first hot spot topic tracking indication and the second hot spot topic tracking indication for intermodulation to obtain a first target tracking indication corresponding to the first hot spot topic tracking indication and a second target tracking indication corresponding to the second hot spot topic tracking indication includes: randomly selecting a value from a preset value interval as the inter-modulation number of the tracking indication information group of the first hot spot subject tracking indication and the second hot spot subject tracking indication; calibrating the tracking indication information groups of the first and second hot spot theme tracking indications to obtain a tracking indication information calibration queue; randomly setting a queue grouping area calibrated in the tracking indication information calibration queue to obtain a randomly set tracking indication information calibration queue; selecting the calibration of the intermodulation number of the tracking indication information group from the randomly set tracking indication information calibration queue as an intermodulation mark; and intermodulation tracking indication information groups indicated by the intermodulation marks in the first hotspot subject tracking indication and the second hotspot subject tracking indication to obtain a first target tracking indication corresponding to the first hotspot subject tracking indication and a second target tracking indication corresponding to the second hotspot subject tracking indication.

In this embodiment, by disordering the trace indication information group, the hot-spot subject tracing rate and the hot-spot subject tracing adaptability can be balanced as much as possible, and it is further ensured that the first target trace indication and the second target trace indication do not depart from the first and second hot-spot subject trace indications as much as possible.

Further, the intermodulation of one or more groups of tracking indication information of the same category in the first hotspot topic tracking indication and the second hotspot topic tracking indication to obtain a first target tracking indication corresponding to the first hotspot topic tracking indication and a second target tracking indication corresponding to the second hotspot topic tracking indication may also be implemented by the following means: randomly selecting one or more groups of tracing indication information in the first hotspot subject tracing indication as first intermodulation tracing indication information; determining second intermodulation trace indication information located in a same category in second hotspot subject trace indications based on a type of the first intermodulation trace indication information in the first hotspot subject trace indication; and performing intermodulation on first intermodulation tracking indication information and second intermodulation tracking indication information which correspond to each other in the first hotspot subject tracking indication and the second hotspot subject tracking indication to obtain a first target tracking indication corresponding to the first hotspot subject tracking indication and a second target tracking indication corresponding to the second hotspot subject tracking indication.

S530, based on the intermodulation tracking indication information in the first and second target tracking indications and the corresponding quantization statistical information of all the tracking indication information, respectively optimizing a hot spot subject tracking duty ratio in the update activation information of the first and second target tracking indications, where the intermodulation tracking indication information in the first and second target tracking indications is regarded as the second hot spot subject tracking indication information and the first hot spot subject tracking indication information, respectively.

In an independently implementable aspect, the optimizing hot spot topic tracking occupation ratio in the updated activation information of the first and second target tracking indications based on the intermodulation tracking indication information in the first and second target tracking indications and the corresponding quantitative statistical information of all tracking indication information comprises: determining first hotspot subject tracking indication information which is not intermodulation in the first target tracking indication and first tracking indication information quantization statistical information of the first target tracking indication based on the intermodulation tracking indication information in the first target tracking indication; optimizing hotspot subject tracking proportion of the first target tracking indication based on first tracking indication information quantitative statistical information of the first target tracking indication; determining tracking indication information subjected to intermodulation in the second target tracking indication and quantization statistical information of the second target tracking indication, and taking the quantization statistical information as first tracking indication information quantization statistical information of the second target tracking indication; and optimizing the hot spot subject tracking ratio of the second target tracking indication based on the first tracking indication information quantitative statistical information of the second target tracking indication.

And S540, tracking the hot topic to be tracked based on the first hot topic tracking instruction, the second hot topic tracking instruction, the first target tracking instruction and the second target tracking instruction, and obtaining the latest hot topic after tracking.

In the scheme, the tracking indication information of different hotspot theme tracking indications is subjected to intermodulation, so that the compatibility between the different hotspot theme tracking indications can be realized. For example, after intermodulation of tracking indication information, global sexual analysis may be performed on the first and second hot topic tracking indications, the first target tracking indication and the second target tracking indication, so as to take the tracking rate of the hot topic into consideration, and simultaneously take high adaptability of the tracked hot topic to the actual public sentiment environment into consideration, and the first target tracking indication and the second target tracking indication are obtained on the basis of the first and second hot topic tracking indications, so that the whole hot topic tracking process does not depart from the constraint condition of the optimized hot topic tracking mode. Therefore, when the topic tracking is carried out subsequently, the related topic participation end can quickly obtain the tracked hot topic, and because the tracked hot topic is highly adaptive to the actual conversation preference, the related topic participation end can carry out comprehensive and accurate topic tracking based on the tracked hot topic.

Secondly, aiming at the above big data hot topic processing method based on artificial intelligence, the embodiment of the present application further provides an exemplary big data hot topic processing device based on artificial intelligence, and the big data hot topic processing device based on artificial intelligence may include the following functional modules:

the conversation interaction analysis module is used for respectively carrying out conversation interaction analysis on a target hot topic under different conversation interaction environments based on the online template topic processing equipment and the online target topic processing equipment so as to obtain a hot tracking preference topic corresponding to the target hot topic;

and the tracking mode optimizing module is used for determining mode optimizing conditions according to the hotspot tracking preference topics and optimizing a hotspot topic tracking mode by modifying the guide information in a mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking the hotspot topic to be tracked.

Then, based on the above method embodiment and apparatus embodiment, the present application embodiment further provides a system embodiment, that is, an artificial intelligence based big data hot topic processing system, where the artificial intelligence based big data hot topic processing system may include a topic server, an online template topic processing device, and an online target topic processing device. The topic server is communicated with the online template topic processing device and the online target topic processing device to implement the method, and further, the functionality of the big data hot topic processing system based on artificial intelligence is described as follows.

A big data hot topic processing system based on artificial intelligence comprises a topic server, an online template topic processing device and an online target topic processing device, wherein the topic server is in communication connection with the online template topic processing device and the online target topic processing device;

the topic server is configured to:

respectively carrying out session interaction analysis on a target hot topic under different session interaction environments based on the online template topic processing equipment and the online target topic processing equipment to obtain a hot tracking preference topic corresponding to the target hot topic;

determining mode optimization conditions according to the hotspot tracking preference topics, and modifying guide information in a mode to optimize a hotspot topic tracking mode, wherein the hotspot topic tracking mode is a mode which is generated in advance and used for tracking a hotspot topic to be tracked.

Further, referring to fig. 3 in conjunction, the topic server 10 may include a processing engine 110, a network module 120, and a memory 130, the processing engine 110 and the memory 130 communicating through the network module 120.

Processing engine 110 may process the relevant information and/or data to perform one or more of the functions described herein. For example, in some embodiments, processing engine 110 may include at least one processing engine (e.g., a single core processing engine or a multi-core processor). By way of example only, the Processing engine 110 may include a Central Processing Unit (CPU), an Application-Specific Integrated Circuit (ASIC), an Application-Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.

Network module 120 may facilitate the exchange of information and/or data. In some embodiments, the network module 120 may be any type of wired or wireless network or combination thereof. Merely by way of example, the Network module 120 may include a cable Network, a wired Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a Wireless personal Area Network, a Near Field Communication (NFC) Network, and the like, or any combination thereof. In some embodiments, the network module 120 may include at least one network access point. For example, the network module 120 may include wired or wireless network access points, such as base stations and/or network access points.

The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.

It is to be understood that the configuration shown in fig. 3 is merely illustrative, and the topic server may also include more or fewer components than shown in fig. 3, or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.

The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.