CN113158070A - Topic tendency analysis method applied to cloud computing, server and storage medium - Google Patents

Abstract

The application relates to the technical field of cloud computing and topic tendency analysis, in particular to a topic tendency analysis method, a server and a storage medium applied to cloud computing.

Description

Topic tendency analysis method applied to cloud computing, server and storage medium

Technical Field

The embodiment of the application relates to the technical field of cloud computing and topic tendency analysis, in particular to a topic tendency analysis method, a server and a storage medium applied to cloud computing.

Background

With the continuous development and update iteration of network information technology, big data and cloud computing technology are continuously mature and are gradually applied to various business processing and analysis. The coming of the internet era promotes various data information to be in a explosive growth state, and it is necessary to accurately and effectively analyze the value of the massive data information.

The topic analysis technology aims to analyze user behaviors and user intentions in different social topics or conversation topics so as to obtain a tendency analysis result of users on related topics, and therefore public opinion analysis or topic service upgrading can be conveniently carried out subsequently.

At present, a topic scene has real-time variability and uncertainty, and the establishment of a knowledge base (knowledge graph) related to a topic/session can provide a relatively complete information base for topic tendency analysis, but the related knowledge base establishment technology has the technical problems of low efficiency and poor flexibility.

Disclosure of Invention

In view of this, embodiments of the present application provide a topic tendency analysis method, a server, and a storage medium applied to cloud computing.

The embodiment of the application provides a topic tendency analysis method applied to cloud computing, which is applied to a cloud computing server and at least comprises the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents;

when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state;

and generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

In a preferred approach, the knowledge base description comprises an overall propensity description;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time interval of the call behavior is located in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, including:

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

In a preferred embodiment, the knowledge base description further includes a key content description of the session generation content;

when detecting that the topic service end calls the behavior of the knowledge base feature thread in the feature thread distribution and the target time interval of the calling behavior is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, further comprising:

according to the overall tendency description, outputting knowledge base characteristics corresponding to the conversation tendency generation contents in the overall tendency description based on the key content description, wherein the key content description comprises a local creation state corresponding to at least one conversation tendency local content;

when detecting a calling behavior of a topic business end aiming at the knowledge base characteristics in the key content description and a target time interval of the calling behavior is positioned in a state time interval of a local creation state corresponding to the knowledge base characteristic thread, outputting the knowledge base characteristics corresponding to the knowledge base characteristic thread in the target time interval of the local creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, and further comprising:

and generating key content description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the local creation state corresponding to the local content of the conversation tendency.

In a preferred approach, the knowledge base description comprises a key content description, and the conversation tendency generating content comprises at least one conversation tendency local content;

the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents, and the construction service comprises the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises key content description and characteristic thread distribution, the key content description comprises a local creation state corresponding to at least one conversation tendency local content, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency local content;

correspondingly, when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, including:

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the local creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the local creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

generating key content description of a target conversation tendency knowledge base according to knowledge base characteristics in a state time period of a local creation state corresponding to the conversation tendency local content;

correspondingly, the knowledge base description further comprises an overall tendency description, and the overall tendency description comprises creation states corresponding to a plurality of conversation tendency generation contents;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, further comprising:

generating content according to the conversation tendency presented by the key content description, and outputting the knowledge base characteristics in the key content description in the state time period of the creation state corresponding to the conversation tendency generation content in the overall tendency description;

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval described by the overall tendency;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, and further comprising:

and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

In a preferred aspect, the knowledge base description comprises a public opinion parsing description;

the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents, and the construction service comprises the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises public opinion analysis description and characteristic thread distribution, the public opinion analysis description comprises creation states corresponding to a plurality of conversation tendency related public opinion elements, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the related public opinion elements;

correspondingly, the knowledge base description comprises public opinion analysis description;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time interval of the call behavior is located in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, including:

when detecting a calling behavior of a topic business end aiming at the knowledge base characteristic thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base characteristic thread, outputting knowledge base characteristics corresponding to the knowledge base characteristic thread at the target time interval of the creation state corresponding to the related public sentiment elements;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

and generating public opinion analysis description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the related public opinion elements.

In an optimal scheme, the service for building the session tendency knowledge base further includes a description selection unit, and further includes:

when detecting that the topic service end describes and selects the behavior aiming at the knowledge base of the description and selection unit, outputting the knowledge base description and the characteristic thread distribution selected by the topic service end in the session tendency construction service, wherein the characteristic thread distribution comprises a plurality of knowledge base characteristic threads corresponding to the knowledge base description.

In a preferred scheme, the feature thread distribution further includes a dynamic feature thread;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, before outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, the method further includes:

updating the dynamic characteristic thread after the topic service end is configured in the characteristic thread distribution based on the configuration behavior of the topic service end aiming at the dynamic characteristic thread;

when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state, wherein the knowledge base features comprise;

when detecting a calling behavior of a topic service end aiming at the dynamic feature thread and the target time interval of the calling behavior is located in the state time interval of the creation state described by the knowledge base, outputting the dynamic feature corresponding to the knowledge base feature thread in the target time interval of the creation state;

correspondingly, the configuration unit further includes a fusion unit, and the configuration unit configures the knowledge base features based on the selection behavior of the topic service end for the configuration unit, including:

outputting fusion label distribution based on the selection behavior of the topic service end aiming at the fusion unit, wherein the fusion label distribution comprises a plurality of fusion label units of different fusion layers;

based on the topic service end, selecting behaviors aiming at the fusion layer of the fusion label unit, and adjusting the characteristics of the knowledge base to be in a calibratable state;

based on the selection behavior of the topic service end aiming at the tagable knowledge base characteristics, sequentially fusing the knowledge base characteristics selected by the topic service end according to the fusion layer selected by the topic service end;

correspondingly, the knowledge base sample service further includes a sharing unit, and after generating a target session tendency knowledge base according to knowledge base characteristics in a state time period of a creation state corresponding to the session tendency generation content, the sharing unit further includes:

acquiring a knowledge base of the target session tendency based on the activation behavior of the topic service end to the sharing unit;

outputting a sharing adjustment service based on the target session propensity knowledge base, the sharing adjustment service including a verification unit;

and sharing the target session tendency knowledge base based on the activation behavior of the topic service end to the verification unit.

In an optimized scheme, before outputting a construction service of a conversation tendency knowledge base, the construction service of the conversation tendency knowledge base includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the conversation tendency generation contents, the method further includes:

a repository sample service that outputs a repository sample service that includes a plurality of repository samples;

acquiring a target knowledge base sample selected by the topic service end based on the selection behavior of the topic service end on the knowledge base sample;

outputting the conversation tendency construction service based on the target knowledge base sample, wherein the conversation tendency construction service comprises knowledge base description generated according to the target knowledge base sample;

correspondingly, before generating the target session tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the session tendency generation content, the method further includes:

outputting a configuration distribution based on configuration activation behavior of a topic service end in the knowledge base description, wherein the configuration distribution comprises a plurality of configuration units;

and configuring the characteristics of the knowledge base based on the selection behavior of the topic service end aiming at the configuration unit.

The embodiment of the application also provides a cloud computing server, which comprises a processor, a communication bus and a memory; the processor and the memory communicate via the communication bus, and the processor reads the computer program from the memory and runs the computer program to perform the method described above.

An embodiment of the present application further provides a computer storage medium, where a computer program is stored, and the computer program implements the method when running.

Compared with the prior art, the topic tendency analysis method, the server and the storage medium applied to the cloud computing provided by the embodiment of the application have the following technical effects: the construction service of the conversation tendency knowledge base can be output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents; when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state; and generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content. According to the method and the device, the knowledge base characteristic thread corresponding to the conversation tendency generation content is utilized, the construction of the relevant knowledge base is carried out based on the knowledge base description of which the state classification is established in advance, the construction efficiency of the conversation tendency knowledge base can be effectively improved, the resource overhead of the cloud computing server when the conversation tendency knowledge base is constructed can be reduced, the personalized construction requirements of different topic business terminals for the conversation tendency knowledge base can be met, and the construction flexibility of the conversation tendency knowledge base is improved.

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

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic block diagram of a cloud computing server according to an embodiment of the present disclosure.

Fig. 2 is a flowchart of a topic tendency analysis method applied to cloud computing according to an embodiment of the present disclosure.

Fig. 3 is a block diagram of a topic tendency analysis device applied to cloud computing according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

Fig. 1 shows a block schematic diagram of a cloud computing server 10 provided in an embodiment of the present application. The cloud computing server 10 in the embodiment of the present application may be a server with data storage, transmission, and processing functions, as shown in fig. 1, the cloud computing server 10 includes: memory 11, processor 12, communication bus 13 and topic tendency analysis device 20 applied to cloud computing.

The memory 11, processor 12 and communication bus 13 are electrically connected, directly or indirectly, to enable the transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 11 stores a topic tendency analysis device 20 applied to cloud computing, the topic tendency analysis device 20 applied to cloud computing includes at least one software functional module which can be stored in the memory 11 in a form of software or firmware (firmware), and the processor 12 executes various functional applications and data processing by running a software program and a module stored in the memory 11, for example, the topic tendency analysis device 20 applied to cloud computing in the embodiment of the present application, so as to implement the topic tendency analysis method applied to cloud computing in the embodiment of the present application.

The Memory 11 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 11 is used for storing a program, and the processor 12 executes the program after receiving an execution instruction.

The processor 12 may be an integrated circuit chip having data processing capabilities. The Processor 12 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The communication bus 13 is used for establishing communication connection between the cloud computing server 10 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.

It is to be understood that the configuration shown in fig. 1 is merely illustrative, and that cloud computing server 10 may include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.

An embodiment of the present application further provides a computer storage medium, where a computer program is stored, and the computer program implements the method when running.

Fig. 2 shows a flowchart of topic tendency analysis applied to cloud computing according to an embodiment of the present application. The method steps defined by the flow related to the method are applied to the cloud computing server 10 and can be implemented by the processor 12, and the method includes the following steps S21-S23.

S21: and the cloud computing server outputs a construction service of the conversation tendency knowledge base.

In this embodiment of the application, the service for building the conversation tendency knowledge base includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the conversation tendency generation contents.

It is to be understood that the conversation tendency knowledge base can be a visual knowledge map formed based on the conversation tendency or topic tendency of the topic users, and can be used for subsequent analysis of the user tendency or user intention. Correspondingly, the building service can be an interface or a page for the user to perform visual dragging operation. The creation state may be a usage state or a constraint condition of the associated session propensity generating content. The knowledge base feature threads are used for representing the knowledge base feature combination function or combination mode, and the knowledge base feature combination functions or combination modes of different knowledge base feature threads are different.

For some alternative embodiments b, the knowledge base description comprises a key content description, and the conversation tendency generating content comprises at least one conversation tendency local content. Based on this, the construction service of the output session tendency knowledge base described in S21, where the construction service of the session tendency knowledge base includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of session tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the session tendency generation contents, may include the following technical solutions: the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises key content description and characteristic thread distribution, the key content description comprises a local creation state corresponding to at least one conversation tendency local content, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency local content.

For some optional embodiments c, the knowledge base description includes a public opinion parsing description, based on which, the building service of the output conversation tendency knowledge base described in the above S21 includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the conversation tendency generation contents, which may include the following technical solutions: the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises public opinion analysis description and characteristic thread distribution, the public opinion analysis description comprises creation states corresponding to a plurality of conversation tendency related public opinion elements, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the related public opinion elements.

S22: when detecting a calling behavior of a topic business end aiming at the knowledge base feature thread and a target time interval of the calling behavior is located in a state time interval of a creating state corresponding to the knowledge base feature thread, the cloud computing server outputs the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creating state.

For the embodiment of the application, the cloud computing server can be in communication connection with the topic service end, and the calling behavior can be understood as the dragging operation or the clicking operation of the corresponding knowledge base feature thread by the topic service end. The target period of the invoking behavior may be understood as an activation period or a trigger period. The state time interval of the created state can be understood as the usable terminal of the related thread, so that the output/display of the knowledge base characteristics can be carried out in the idle time interval of the related thread, the integrity of the knowledge base characteristics is ensured, and the actual building requirement of the topic service end is met as much as possible.

In an alternative embodiment a, the knowledge base description includes an overall tendency description, and based on this, when a call behavior of the topic service end for the knowledge base feature thread is detected and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, the outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state described in S22 may include the following technical solutions: when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state.

On the basis of the embodiment a, the technical solution described in embodiment a1 is further included, in embodiment a1, the knowledge base description further includes a key content description of the session generation content, and based on this, when a call behavior of the topic service end for the knowledge base feature thread in the feature thread distribution is detected, and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, the knowledge base feature corresponding to the knowledge base feature thread is output in the target time period of the creation state, which may further include the following technical solutions: according to the overall tendency description, outputting knowledge base characteristics corresponding to the conversation tendency generation contents in the overall tendency description based on the key content description, wherein the key content description comprises a local creation state corresponding to at least one conversation tendency local content; when detecting that a topic business end calls the knowledge base characteristics in the key content description and the target time interval of the calling is located in the state time interval of the local creation state corresponding to the knowledge base characteristic thread, outputting the knowledge base characteristics corresponding to the knowledge base characteristic thread in the target time interval of the local creation state. By the design, local conditions can be taken into account, and related knowledge base characteristics can be accurately output by utilizing the divide-and-conquer thought.

On the basis of the embodiment b, when the invoking behavior of the topic business end for the knowledge base feature thread is detected and the target time period of the invoking behavior is located in the state time period of the creation state corresponding to the knowledge base feature thread, as described in S22, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state may include the following: when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the call is located in the state time interval of the local creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the local creation state.

On the basis of the embodiment b, the technical scheme corresponding to the embodiment b1 can be further included. In the embodiment b1, the knowledge base description further includes an overall tendency description, where the overall tendency description includes a plurality of creation statuses corresponding to the session tendency generation contents, and based on this, when the invoking behavior of the topic service end for the knowledge base feature thread is detected and the target time period of the invoking behavior is located in the status time period of the creation status corresponding to the knowledge base feature thread, the method described in the above S22 outputs the knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation status, and may further include the following technical solutions: generating content according to the conversation tendency presented by the key content description, and outputting the knowledge base characteristics in the key content description in the state time period of the creation state corresponding to the conversation tendency generation content in the overall tendency description; and when detecting that the topic service end aims at the calling behavior of the knowledge base feature thread in the feature thread distribution and the target time interval of the calling behavior is positioned in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval described by the overall tendency.

On the basis of the embodiment c, when the invoking behavior of the topic service end for the knowledge base feature thread is detected and the target time period of the invoking behavior is located in the state time period of the creation state corresponding to the knowledge base feature thread, which is described in the above S22, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state may include the following technical solutions: when detecting a calling behavior of the topic business end aiming at the knowledge base characteristic thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base characteristic thread, outputting the knowledge base characteristic corresponding to the knowledge base characteristic thread at the target time interval of the creation state corresponding to the related public sentiment element. By the design, the characteristics of the knowledge base can be output from the public sentiment layer, so that the public sentiment analysis requirement of the topic user side is considered.

S23: and the cloud computing server generates a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

In this embodiment of the application, the target session tendency knowledge base may be understood as a knowledge graph adapted to the invocation behavior of the topic service end, and the target session tendency knowledge base may include different session tendency feature nodes and an association relationship or a transfer relationship between the different session tendency feature nodes. The target conversation tendency knowledge base can be used for carrying out related user tendency mining and research subsequently, so that a relatively complete information basis is provided for topic tendency analysis.

It is to be understood that, on the basis of the embodiment a, the step of generating the target session tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the session tendency generation content, which is described in S23, may include the following steps: and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content. By the design, a target conversation tendency knowledge base can be built from the global layer.

It is to be understood that, on the basis of the embodiment a1, the generating a target session tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the session tendency generation content described in S23 may further include: and generating key content description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the local creation state corresponding to the local content of the conversation tendency.

On the basis of the embodiment b, the generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the conversation tendency generation content described in S23 includes: and generating key content description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the local creation state corresponding to the local content of the conversation tendency.

On the basis of the embodiment b1, the generating of the target session tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the session tendency generation content described in S23 may further include the following: and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

On the basis of the embodiment c, the generating of the target session tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the session tendency generation content described in the above S23 may include the following technical solutions: and generating public opinion analysis description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the related public opinion elements.

In some possible embodiments, the service for building the conversation tendency knowledge base further includes a description selection unit, and based on this, the method may further include the following technical solutions: when detecting that the topic service end describes and selects the behavior aiming at the knowledge base of the description and selection unit, outputting the knowledge base description and the characteristic thread distribution selected by the topic service end in the session tendency construction service, wherein the characteristic thread distribution comprises a plurality of knowledge base characteristic threads corresponding to the knowledge base description.

In some other examples d, the feature thread distribution further includes a dynamic feature thread, and based on this, before the step of outputting the knowledge base feature corresponding to the knowledge base feature thread in the target period of the creation state when the calling behavior of the topic service end for the knowledge base feature thread is detected and the target period of the calling behavior is located in the state period of the creation state corresponding to the knowledge base feature thread as described in the above S22, the method may further include the following: and updating the dynamic characteristic thread configured by the output topic service end in the characteristic thread distribution based on the configuration behavior of the topic service end aiming at the dynamic characteristic thread. Therefore, real-time updating and optimization of the dynamic characteristic thread can be realized, and timeliness of the dynamic characteristic thread is ensured.

On the basis of the embodiment d, when the invoking behavior of the topic service end for the knowledge base feature thread is detected and the target time period of the invoking behavior is located in the state time period of the creation state corresponding to the knowledge base feature thread as described in the above S22, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state may include the following technical solutions: and when detecting the calling behavior of the topic service end aiming at the dynamic feature thread and the target time interval of the calling behavior is positioned in the state time interval of the creation state described by the knowledge base, outputting the dynamic feature corresponding to the knowledge base feature thread in the target time interval of the creation state.

On the basis of the above embodiment d, the configuration unit further includes a fusion unit. Based on this, the configuration of the knowledge base features based on the selection behavior of the topic service end for the configuration unit described in the above steps may include the following: outputting fusion label distribution based on the selection behavior of the topic service end aiming at the fusion unit, wherein the fusion label distribution comprises a plurality of fusion label units of different fusion layers; based on the topic service end, selecting behaviors aiming at the fusion layer of the fusion label unit, and adjusting the characteristics of the knowledge base to be in a calibratable state; and based on the selection behavior of the topic service end aiming at the tagable knowledge base characteristics, sequentially fusing the knowledge base characteristics selected by the topic service end according to the fusion layer selected by the topic service end. Therefore, the characteristics of the knowledge base can be fused according to the actual requirements of the topic service end, and the requirement for building the knowledge base of the topic service end is met as far as possible.

On the basis of the embodiment d, the repository sample service further includes a sharing unit, and based on this, after the step of generating the repository characteristics in the state period of the creation state corresponding to the content according to the session tendency described in the above S23, and generating the target session tendency repository, the method may further include the following S241-S243.

S241: and acquiring the target session tendency knowledge base based on the activation behavior of the topic service end to the sharing unit.

S242: outputting a sharing adjustment service based on the target session propensity knowledge base, the sharing adjustment service including a verification unit.

For example, the verification unit may be understood as a verification control or a module with verification function, which may be used to perform security verification of repository sharing.

S243: and sharing the target session tendency knowledge base based on the activation behavior of the topic service end to the verification unit.

For example, the activation action may be a selection operation or other form of triggering operation.

By means of the design, the built knowledge base can be shared through S241-S243, so that resources consumed by rebuilding the knowledge base are further reduced, and the utilization rate of the knowledge base is improved.

In some further embodiments, the step of outputting the construction service of the conversation tendency knowledge base described in S21, where the construction service of the conversation tendency knowledge base includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the conversation tendency generation contents, before the step of outputting the knowledge base feature thread of the conversation tendency generation contents, the method may further include the following steps: a repository sample service that outputs a repository sample service that includes a plurality of repository samples; acquiring a target knowledge base sample selected by the topic service end based on the selection behavior of the topic service end on the knowledge base sample; and outputting the conversation tendency construction service based on the target knowledge base sample, wherein the conversation tendency construction service comprises knowledge base description generated according to the target knowledge base sample. Based on this, before the step of generating the target session tendency knowledge base according to the knowledge base characteristics in the state period of the creation state corresponding to the session tendency generation content described in S23, the method may further include the following steps: based on the configuration activation behavior of the topic business end in the knowledge base description, outputting a configuration distribution (such as a related edit list), wherein the configuration distribution comprises a plurality of configuration units (such as edit controls and the like); and configuring the characteristics of the knowledge base based on the selection behavior of the topic service end aiming at the configuration unit. By the design, the characteristics of the related knowledge base can be flexibly adjusted and edited.

The technical scheme provided by the embodiment of the application at least has the following beneficial effects: the construction service of the conversation tendency knowledge base can be output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents; when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state; and generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content. According to the method and the device, the knowledge base characteristic thread corresponding to the conversation tendency generation content is utilized, the construction of the relevant knowledge base is carried out based on the knowledge base description of which the state classification is established in advance, the construction efficiency of the conversation tendency knowledge base can be effectively improved, the resource overhead of the cloud computing server when the conversation tendency knowledge base is constructed can be reduced, the personalized construction requirements of different topic business terminals for the conversation tendency knowledge base can be met, and the construction flexibility of the conversation tendency knowledge base is improved.

Based on the same inventive concept, there is also provided a topic tendency analysis device 20 applied to cloud computing, which is applied to a cloud computing server 10, and comprises:

the service output module 21 is configured to output a construction service of a conversation tendency knowledge base, where the construction service of the conversation tendency knowledge base includes a knowledge base description and a feature thread distribution, the knowledge base description includes creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution includes at least one knowledge base feature thread of the conversation tendency generation contents;

the feature output module 22 is configured to, when detecting that a call behavior of the topic service end for the knowledge base feature thread is detected and a target time period of the call behavior is located within a state time period of a creation state corresponding to the knowledge base feature thread, output a knowledge base feature corresponding to the knowledge base feature thread at the target time period of the creation state;

and the knowledge building module 23 is configured to generate a target session tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the session tendency generation content.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a cloud computing server 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A topic tendency analysis method applied to cloud computing is characterized by being applied to a cloud computing server and at least comprising the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents;

when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state;

and generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

2. The topic tendency analysis method applied to cloud computing of claim 1 wherein the knowledge base description comprises an overall tendency description;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time interval of the call behavior is located in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, including:

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

3. The topic tendency analysis method applied to cloud computing of claim 2 wherein the knowledge base description further comprises a key content description of the session generation content;

when detecting that the topic service end calls the behavior of the knowledge base feature thread in the feature thread distribution and the target time interval of the calling behavior is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, further comprising:

according to the overall tendency description, outputting knowledge base characteristics corresponding to the conversation tendency generation contents in the overall tendency description based on the key content description, wherein the key content description comprises a local creation state corresponding to at least one conversation tendency local content;

when detecting a calling behavior of a topic business end aiming at the knowledge base characteristics in the key content description and a target time interval of the calling behavior is positioned in a state time interval of a local creation state corresponding to the knowledge base characteristic thread, outputting the knowledge base characteristics corresponding to the knowledge base characteristic thread in the target time interval of the local creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, and further comprising:

and generating key content description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the local creation state corresponding to the local content of the conversation tendency.

4. The topic tendency analysis method applied to cloud computing of claim 1 wherein the knowledge base description comprises a key content description and the conversation tendency generating content comprises at least one conversation tendency local content;

the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents, and the construction service comprises the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises key content description and characteristic thread distribution, the key content description comprises a local creation state corresponding to at least one conversation tendency local content, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency local content;

correspondingly, when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, including:

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the local creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the local creation state;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

generating key content description of a target conversation tendency knowledge base according to knowledge base characteristics in a state time period of a local creation state corresponding to the conversation tendency local content;

correspondingly, the knowledge base description further comprises an overall tendency description, and the overall tendency description comprises creation states corresponding to a plurality of conversation tendency generation contents;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, further comprising:

generating content according to the conversation tendency presented by the key content description, and outputting the knowledge base characteristics in the key content description in the state time period of the creation state corresponding to the conversation tendency generation content in the overall tendency description;

when detecting that a topic service end calls a knowledge base feature thread in the feature thread distribution and the target time interval of the calling is located in the state time interval of the creation state corresponding to the knowledge base feature thread, outputting the knowledge base feature corresponding to the knowledge base feature thread in the target time interval described by the overall tendency;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, and further comprising:

and generating the overall tendency description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content.

5. The topic tendency analysis method applied to cloud computing of claim 1 wherein the knowledge base description comprises a public opinion parsing description;

the construction service of the conversation tendency knowledge base is output, the construction service of the conversation tendency knowledge base comprises knowledge base description and characteristic thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, the characteristic thread distribution comprises at least one knowledge base characteristic thread of the conversation tendency generation contents, and the construction service comprises the following steps:

outputting construction service of a conversation tendency knowledge base, wherein the construction service of the conversation tendency knowledge base comprises public opinion analysis description and characteristic thread distribution, the public opinion analysis description comprises creation states corresponding to a plurality of conversation tendency related public opinion elements, and the characteristic thread distribution comprises at least one knowledge base characteristic thread of the related public opinion elements;

correspondingly, the knowledge base description comprises public opinion analysis description;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time interval of the call behavior is located in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time interval of the creation state, including:

when detecting a calling behavior of a topic business end aiming at the knowledge base characteristic thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base characteristic thread, outputting knowledge base characteristics corresponding to the knowledge base characteristic thread at the target time interval of the creation state corresponding to the related public sentiment elements;

generating a target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the conversation tendency generation content, wherein the method comprises the following steps:

and generating public opinion analysis description of the target conversation tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the related public opinion elements.

6. The topic tendency analysis method applied to cloud computing as claimed in claim 1, wherein the service of building the conversation tendency knowledge base further comprises a description selection unit, further comprising:

when detecting that the topic service end describes and selects the behavior aiming at the knowledge base of the description and selection unit, outputting the knowledge base description and the characteristic thread distribution selected by the topic service end in the session tendency construction service, wherein the characteristic thread distribution comprises a plurality of knowledge base characteristic threads corresponding to the knowledge base description.

7. The topic tendency analysis method applied to cloud computing of claim 1 wherein the feature thread distribution further comprises dynamic feature threads;

when detecting a call behavior of the topic service end for the knowledge base feature thread and a target time period of the call behavior is located in a state time period of a creation state corresponding to the knowledge base feature thread, before outputting a knowledge base feature corresponding to the knowledge base feature thread in the target time period of the creation state, the method further includes:

updating the dynamic characteristic thread after the topic service end is configured in the characteristic thread distribution based on the configuration behavior of the topic service end aiming at the dynamic characteristic thread;

when detecting a calling behavior of a topic service end aiming at the knowledge base feature thread and a target time interval of the calling behavior is positioned in a state time interval of a creation state corresponding to the knowledge base feature thread, outputting knowledge base features corresponding to the knowledge base feature thread in the target time interval of the creation state, wherein the knowledge base features comprise;

when detecting a calling behavior of a topic service end aiming at the dynamic feature thread and the target time interval of the calling behavior is located in the state time interval of the creation state described by the knowledge base, outputting the dynamic feature corresponding to the knowledge base feature thread in the target time interval of the creation state;

correspondingly, the configuration unit further includes a fusion unit, and the configuration unit configures the knowledge base features based on the selection behavior of the topic service end for the configuration unit, including:

outputting fusion label distribution based on the selection behavior of the topic service end aiming at the fusion unit, wherein the fusion label distribution comprises a plurality of fusion label units of different fusion layers;

based on the topic service end, selecting behaviors aiming at the fusion layer of the fusion label unit, and adjusting the characteristics of the knowledge base to be in a calibratable state;

based on the selection behavior of the topic service end aiming at the tagable knowledge base characteristics, sequentially fusing the knowledge base characteristics selected by the topic service end according to the fusion layer selected by the topic service end;

correspondingly, the knowledge base sample service further includes a sharing unit, and after generating a target session tendency knowledge base according to knowledge base characteristics in a state time period of a creation state corresponding to the session tendency generation content, the sharing unit further includes:

acquiring a knowledge base of the target session tendency based on the activation behavior of the topic service end to the sharing unit;

outputting a sharing adjustment service based on the target session propensity knowledge base, the sharing adjustment service including a verification unit;

and sharing the target session tendency knowledge base based on the activation behavior of the topic service end to the verification unit.

8. The topic tendency analysis method applied to cloud computing of claim 1, wherein before outputting a construction service of a conversation tendency knowledge base, the construction service of the conversation tendency knowledge base comprises a knowledge base description and a feature thread distribution, the knowledge base description comprises creation states corresponding to a plurality of conversation tendency generation contents, and the feature thread distribution comprises at least one knowledge base feature thread of the conversation tendency generation contents, the method further comprises:

a repository sample service that outputs a repository sample service that includes a plurality of repository samples;

acquiring a target knowledge base sample selected by the topic service end based on the selection behavior of the topic service end on the knowledge base sample;

outputting the conversation tendency construction service based on the target knowledge base sample, wherein the conversation tendency construction service comprises knowledge base description generated according to the target knowledge base sample;

correspondingly, before generating the target session tendency knowledge base according to the knowledge base characteristics in the state time period of the creation state corresponding to the session tendency generation content, the method further includes:

outputting a configuration distribution based on configuration activation behavior of a topic service end in the knowledge base description, wherein the configuration distribution comprises a plurality of configuration units;

and configuring the characteristics of the knowledge base based on the selection behavior of the topic service end aiming at the configuration unit.

9. A cloud computing server comprising a processor, a communication bus, and a memory; the processor and the memory communicate via the communication bus, the processor reading a computer program from the memory and operating to perform the method of any of claims 1-8.

10. A computer storage medium, characterized in that it stores a computer program which, when executed, implements the method of any one of claims 1-8.

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