CN112632218A - Network public opinion monitoring method for enterprise crisis public customs - Google Patents
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Abstract
The invention belongs to the technical field of public opinion monitoring, in particular to an online public opinion monitoring method for enterprise crisis public customs, which comprises the following steps: monitoring network public opinion information related to keywords according to the keywords set by an enterprise, carrying out data acquisition on network data based on a distributed cloud computing mode, and preprocessing the acquired network data: judging whether the public opinion information is negative public opinion information; the method provides the enterprise with the corresponding ability index of the enterprise to the current negative public opinion information so as to provide visual decision reference and guide for the enterprise, has better enterprise experience, provides a modular concept for each large social portal website, combines an integrated learning method, realizes the quick acquisition and high-efficiency analysis of the network public opinion, and combines a plurality of social platform modules so as to ensure that the finally obtained prediction is accurate and reliable; and a double message filtering mechanism of keyword analysis and social platform module integration analysis is adopted, so that the accuracy is high.
Description
Technical Field
The invention belongs to the technical field of public opinion monitoring, and particularly relates to an online public opinion monitoring method for an enterprise crisis public affairs.
Background
Public opinion monitoring is the act of monitoring and predicting the public's opinions and opinions on the internet. The opinions mainly refer to the opinions and the opinions which have strong influence and tendency on some hot and focus problems in real life, and specifically, public opinion monitoring refers to the integration of an internet information acquisition technology and an information intelligent processing technology, information requirements of enterprises such as network public opinion monitoring and news topic tracking are met by automatically capturing mass internet information, automatically classifying and clustering, theme detection and topic focusing, analysis results such as briefing, reports and charts are formed, and therefore a correct public opinion guide is made for clients to comprehensively master the thought dynamics of the masses and provide analysis bases. The industrialization and the service are development trends of public opinion monitoring and analysis, text classification, text clustering, text summarization, tendency analysis and the like are combined with a corpus and a knowledge base, public opinion semantic analysis infrastructure based on a SaaS mode is established, human-computer combination can be better realized, and the accuracy of public opinion research and judgment is improved.
The crisis public relations of enterprises refer to that enterprises learn, make and implement a series of management measures and coping strategies in an organized and planned way in order to avoid or reduce serious damage and threats brought by crisis, and the dynamic processes of continuous learning and adaptation including avoidance, control and solution of crisis, revival after crisis is solved and the like.
Therefore, the person skilled in the art proposes a method for monitoring public online opinions of the enterprise crisis to solve the problems mentioned above.
Disclosure of Invention
To solve the problems set forth in the background art described above. The invention provides an online public opinion monitoring method for enterprise crisis public customs, which has the characteristics of low cost, high efficiency and time saving.
In order to achieve the purpose, the invention provides the following technical scheme: a network public opinion monitoring method for an enterprise crisis public gateway comprises the following steps:
s1, monitoring network public opinion information related to the keywords according to the keywords set by the enterprise, and performing data acquisition on network data based on a distributed cloud computing mode;
s2, preprocessing the acquired network data: judging whether the public opinion information is negative public opinion information;
s3, topic extraction: extracting public sentiment topics from the preprocessed network data, and extracting hot public sentiment topics from the extracted public sentiment topics again; classifying the hot public opinion topics;
s4, dividing the social networking platform into a plurality of modules to monitor the classified hot public sentiment topics;
s5, regularly acquiring the public opinion activity number in each module platform in each time period, predicting the main public opinion topics of the public opinion and calculating the module topic activity;
s6, acquiring overall information of topics with topic activeness exceeding a threshold value, and adding the overall information into a key public opinion list;
s7, integrating all modules, obtaining the number of topics of each public opinion module, and redistributing the weight of each module;
s8, acquiring all public opinion information under the topic, and performing clustering and classifying operation on each public opinion information again to obtain a basic public opinion analysis report;
s9, extracting public sentiment samples according to the weight of each module obtained in the step S7 in proportion, putting the public sentiment samples into an integrated model for training, and predicting the trend of the public sentiment topics in the future;
and S10, carrying out statistics monitoring analysis on the obtained data information.
Preferably, the keyword in step S1 is an enterprise name, and the step of monitoring the internet public opinion information related to the keyword according to the keyword set by the enterprise specifically includes: and capturing public opinion information related to the keywords set by the enterprise from the Internet by utilizing a crawler technology.
Preferably, the preprocessing in step S2 includes: and if the network public opinion information related to the keywords is monitored, judging whether the public opinion information is negative public opinion information, and if the public opinion information is the negative public opinion information, calculating the corresponding ability index of the enterprise to the negative public opinion information.
Preferably, in step S5, predicting the main topic of public sentiment by using a classification integration method and calculating module topic activeness; the ith module topic activity ai calculation formula is as follows:
preferably, the weight calculation formula in step S7 is:
preferably, in step S8, a clustering operation is performed on the publication time, geographic location, enterprise age, gender, and occupation of each piece of public opinion information by using a method such as clustering classification, so as to obtain a basic public opinion analysis report.
A network public opinion monitoring system for enterprise crisis public relations comprises a monitoring module, a public opinion information acquisition module, a key public opinion list construction module, an integration module, a public opinion information analysis module and a future public opinion topic trend prediction module;
the monitoring module is used for dividing the social networking platform into a plurality of modules for monitoring;
the public opinion information acquisition module is used for acquiring public opinion activity numbers in each module platform in each time period in a timing mode, predicting main public opinion topics of the public opinions and calculating module topic activity degrees;
the key public opinion list building module is used for acquiring the whole information of the topics with topic activeness exceeding a threshold value and adding the information into the key public opinion list;
the integration module is used for integrating all the modules, acquiring the number of topics of each public opinion module and redistributing the weight of each module;
the public opinion information analysis module is used for acquiring all public opinion information under the topic, and performing clustering classification operation on each public opinion information to obtain a basic public opinion analysis report;
and the future public opinion topic trend prediction module is used for extracting public opinion samples in proportion according to the obtained weight of each module, putting the public opinion samples into an integrated model for training and predicting the trend of the future public opinion topic.
A network public opinion monitoring device for enterprise crisis public relations comprises a monitoring module, a judging module and an analyzing module;
the monitoring module is used for monitoring the network public opinion information related to the keywords according to the keywords set by the enterprise and outputting the network public opinion information to the judging module;
the judgment module is used for judging whether the public opinion information is negative public opinion information or not when the monitoring module monitors the network public opinion information related to the keyword, and outputting the negative public opinion information to the analysis module;
and the analysis module is used for analyzing the corresponding ability index of the enterprise to the negative public opinion information when the judgment module judges that the public opinion information is the negative public opinion information.
Preferably, the analysis module comprises:
the statistic unit is used for counting the quantity of the negative public opinion information;
the first acquisition unit is used for acquiring the coping quantity of the enterprises for the negative public opinion information;
a first calculating unit, configured to calculate a public opinion return rate according to the number of the negative public opinion information and the corresponding number of the negative public opinion information;
the second acquisition unit is used for acquiring a reply speed corresponding to the reply speed according to the reply speed of the enterprise and a preset reply speed library;
the second calculation unit is used for calculating a response acceptance rate according to the response to the enterprise response, wherein the response acceptance rate is the proportion of the response quantity supporting the enterprise response in the internet to all the response quantities to the enterprise response;
and the third calculating unit is used for calculating the corresponding ability index of the enterprise to the negative public opinion information.
Preferably, the formula used by the third computing unit to compute the response capability index of the enterprise to the negative public opinion information is as follows:
wherein, S is the index of the corresponding ability, R is the public opinion reply rate, N is the corresponding quantity of the negative public opinion information, T is the reply rate, and K is the reply acceptance rate.
Compared with the prior art, the invention has the beneficial effects that:
monitoring the network public opinion information related to the keyword according to the keyword set by the enterprise, if the network public opinion information related to the keyword is monitored, judging whether the public opinion information is negative public opinion information, and if the public opinion information is negative public opinion information, analyzing the corresponding ability index of the enterprise to the negative public opinion information. Moreover, the public opinion analysis method provided by the invention realizes that the corresponding ability index of the enterprise to the current negative public opinion information is provided for the enterprise, so that intuitive decision reference and guidance are provided for the enterprise, the enterprise experience is better, the modularized concept is provided for each social portal website, and the integrated learning method is combined, so that the rapid acquisition and high-efficiency analysis of network public opinions are realized, and the finally obtained prediction is more accurate and reliable by combining a plurality of social platform modules; and a double message filtering mechanism of keyword analysis and social platform module integration analysis is adopted, so that the accuracy is high.
Drawings
Fig. 1 is a flowchart of an internet public opinion monitoring method for an enterprise crisis public affairs.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
Example 1
According to fig. 1, the present invention provides the following technical solutions: a network public opinion monitoring method for an enterprise crisis public gateway comprises the following steps:
s1, monitoring network public opinion information related to the keywords according to the keywords set by the enterprise, and performing data acquisition on network data based on a distributed cloud computing mode;
s2, preprocessing the acquired network data: judging whether the public opinion information is negative public opinion information;
s3, topic extraction: extracting public sentiment topics from the preprocessed network data, and extracting hot public sentiment topics from the extracted public sentiment topics again; classifying the hot public sentiment topics;
s4, dividing the social networking platform into a plurality of modules to monitor the classified hot public sentiment topics;
s5, regularly acquiring the public opinion activity number in each module platform in each time period, predicting the main public opinion topics of the public opinion and calculating the module topic activity;
s6, acquiring overall information of topics with topic activeness exceeding a threshold value, and adding the overall information into a key public opinion list;
s7, integrating all modules, obtaining the number of topics of each public opinion module, and redistributing the weight of each module;
s8, acquiring all public opinion information under the topic, and performing clustering and classifying operation on each public opinion information again to obtain a basic public opinion analysis report;
s9, extracting public sentiment samples according to the weight of each module obtained in the step S7 in proportion, putting the public sentiment samples into an integrated model for training, and predicting the trend of the public sentiment topics in the future;
and S10, carrying out statistics monitoring analysis on the obtained data information.
Specifically, the step S1 is to use the keyword as an enterprise name, and the step of monitoring the internet public opinion information related to the keyword according to the keyword set by the enterprise specifically includes: and capturing public opinion information related to the keywords set by the enterprise from the Internet by utilizing a crawler technology.
Specifically, the preprocessing in step S2 includes: and if the network public opinion information related to the keywords is monitored, judging whether the public opinion information is negative public opinion information, and if the public opinion information is the negative public opinion information, calculating the corresponding ability index of the enterprise to the negative public opinion information.
Specifically, in step S5, predicting the main topic of the public sentiment by using a classification integration method and calculating the activity of the module topic; the ith module topic activity ai calculation formula is as follows:
specifically, the weight calculation formula in step S7 is:
specifically, in step S8, clustering classification is performed on the publication time, geographic location, enterprise age, gender, and occupation of each piece of public opinion information by using a method such as clustering classification, so as to obtain a basic public opinion analysis report.
A network public opinion monitoring system for enterprise crisis public relations comprises a monitoring module, a public opinion information acquisition module, a key public opinion list construction module, an integration module, a public opinion information analysis module and a future public opinion topic trend prediction module;
the monitoring module is used for dividing the social networking platform into a plurality of modules for monitoring;
the public opinion information acquisition module is used for acquiring public opinion activity numbers in each module platform in each time period in a timing mode, predicting main public opinion topics of the public opinions and calculating module topic activity degrees;
the key public opinion list building module is used for acquiring the whole information of the topics with the topic activeness exceeding a threshold value and adding the information into the key public opinion list;
the integration module is used for integrating all the modules, acquiring the number of topics of each public opinion module and redistributing the weight of each module;
the public opinion information analysis module is used for acquiring all public opinion information under the topic, and performing clustering classification operation on each public opinion information to obtain a basic public opinion analysis report;
and the future public opinion topic trend prediction module is used for extracting public opinion samples in proportion according to the obtained weight of each module, putting the public opinion samples into an integrated model for training and predicting the trend of the future public opinion topic.
A network public opinion monitoring device for enterprise crisis public relations comprises a monitoring module, a judging module and an analyzing module;
the monitoring module is used for monitoring the network public opinion information related to the keywords according to the keywords set by the enterprise and outputting the network public opinion information to the judging module;
the judgment module is used for judging whether public opinion information is negative public opinion information or not when the monitoring module monitors the network public opinion information related to the keyword, and outputting the negative public opinion information to the analysis module;
and the analysis module is used for analyzing the corresponding ability index of the enterprise to the negative public sentiment information when the judgment module judges that the public sentiment information is the negative public sentiment information.
Specifically, the analysis module includes:
the statistical unit is used for counting the quantity of the negative public opinion information;
the first acquisition unit is used for acquiring the coping quantity of the enterprises for the negative public opinion information;
a first calculating unit for calculating a public opinion return rate according to the number of the negative public opinion information and the corresponding number of the negative public opinion information;
the second acquisition unit is used for acquiring a reply speed corresponding to the reply speed according to the reply speed of the enterprise and a preset reply speed library;
the second calculation unit is used for calculating a reply acceptance rate according to the response to the enterprise reply, wherein the reply acceptance rate is the proportion of the response quantity supporting the enterprise reply in the internet to all the response quantities to the enterprise reply;
and the third calculating unit is used for calculating the corresponding ability index of the enterprise to the negative public opinion information.
Specifically, the formula for calculating the response capability index of the enterprise to the negative public opinion information by the third calculation unit is as follows:
wherein, S is the index of the corresponding ability, R is the public opinion reply rate, N is the corresponding quantity of the negative public opinion information, T is the reply rate, and K is the reply acceptance rate.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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. The phrase "comprising a defined element does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A network public opinion monitoring method for an enterprise crisis public customs is characterized by comprising the following steps: the method comprises the following steps:
s1, monitoring network public opinion information related to the keywords according to the keywords set by the enterprise, and performing data acquisition on network data based on a distributed cloud computing mode;
s2, preprocessing the acquired network data: judging whether the public opinion information is negative public opinion information;
s3, topic extraction: extracting public sentiment topics from the preprocessed network data, and extracting hot public sentiment topics from the extracted public sentiment topics again; classifying the hot public opinion topics;
s4, dividing the social networking platform into a plurality of modules to monitor the classified hot public sentiment topics;
s5, regularly acquiring the public opinion activity number in each module platform in each time period, predicting the main public opinion topics of the public opinion and calculating the module topic activity;
s6, acquiring overall information of topics with topic activeness exceeding a threshold value, and adding the overall information into a key public opinion list;
s7, integrating all modules, obtaining the number of topics of each public opinion module, and redistributing the weight of each module;
s8, acquiring all public opinion information under the topic, and performing clustering and classifying operation on each public opinion information again to obtain a basic public opinion analysis report;
s9, extracting public sentiment samples according to the weight of each module obtained in the step S7 in proportion, putting the public sentiment samples into an integrated model for training, and predicting the trend of the public sentiment topics in the future;
and S10, carrying out statistics monitoring analysis on the obtained data information.
2. The method for monitoring the network public opinion of the public affairs of the enterprise crisis according to claim 1, characterized in that: the step S1, where the keyword is an enterprise name, and the step of monitoring the internet public opinion information related to the keyword according to the keyword set by the enterprise specifically includes: and capturing public opinion information related to the keywords set by the enterprise from the Internet by utilizing a crawler technology.
3. The method for monitoring the network public opinion of the public affairs of the enterprise crisis according to claim 1, characterized in that: the preprocessing in step S2 includes: and if the network public opinion information related to the keywords is monitored, judging whether the public opinion information is negative public opinion information, and if the public opinion information is the negative public opinion information, calculating the corresponding ability index of the enterprise to the negative public opinion information.
4. The method for monitoring the network public opinion of the public affairs of the enterprise crisis according to claim 1, characterized in that: predicting main public sentiment topics of the public sentiment by using a classification integration method and calculating module topic activeness in the step S5; the ith module topic activity ai calculation formula is as follows:
5. the method for monitoring the network public opinion of the public affairs of the enterprise crisis according to claim 1, characterized in that: the weight calculation formula in step S7 is:
6. the method for monitoring the network public opinion of the public affairs of the enterprise crisis according to claim 1, characterized in that: in step S8, clustering classification is performed on the publication time, geographic location, enterprise age, gender, and occupation of each public opinion information by using methods such as clustering classification, so as to obtain a basic public opinion analysis report.
7. The internet public opinion monitoring system for the public relations of enterprise crisis according to any one of claims 1 to 6, characterized in that: the public opinion information prediction system comprises a monitoring module, a public opinion information acquisition module, a key public opinion list construction module, an integration module, a public opinion information analysis module and a future public opinion topic trend prediction module;
the monitoring module is used for dividing the social networking platform into a plurality of modules for monitoring;
the public opinion information acquisition module is used for acquiring public opinion activity numbers in each module platform in each time period in a timing mode, predicting main public opinion topics of the public opinions and calculating module topic activity degrees;
the key public opinion list building module is used for acquiring the whole information of the topics with topic activeness exceeding a threshold value and adding the information into the key public opinion list;
the integration module is used for integrating all the modules, acquiring the number of topics of each public opinion module and redistributing the weight of each module;
the public opinion information analysis module is used for acquiring all public opinion information under the topic, and performing clustering classification operation on each public opinion information to obtain a basic public opinion analysis report;
and the future public opinion topic trend prediction module is used for extracting public opinion samples in proportion according to the obtained weight of each module, putting the public opinion samples into an integrated model for training and predicting the trend of the future public opinion topic.
8. The device for monitoring the public opinion of the enterprise crisis according to any one of claims 1 to 6, wherein: the device comprises a monitoring module, a judging module and an analyzing module;
the monitoring module is used for monitoring the network public opinion information related to the keywords according to the keywords set by the enterprise and outputting the network public opinion information to the judging module;
the judgment module is used for judging whether the public opinion information is negative public opinion information or not when the monitoring module monitors the network public opinion information related to the keyword, and outputting the negative public opinion information to the analysis module;
and the analysis module is used for analyzing the corresponding ability index of the enterprise to the negative public opinion information when the judgment module judges that the public opinion information is the negative public opinion information.
9. The device for monitoring the public opinion of the enterprise crisis according to claim 8, characterized in that: the analysis module includes:
the statistic unit is used for counting the quantity of the negative public opinion information;
the first acquisition unit is used for acquiring the coping quantity of the enterprises for the negative public opinion information;
a first calculating unit, configured to calculate a public opinion return rate according to the number of the negative public opinion information and the corresponding number of the negative public opinion information;
the second acquisition unit is used for acquiring a reply speed corresponding to the reply speed according to the reply speed of the enterprise and a preset reply speed library;
the second calculation unit is used for calculating a response acceptance rate according to the response to the enterprise response, wherein the response acceptance rate is the proportion of the response quantity supporting the enterprise response in the internet to all the response quantities to the enterprise response;
and the third calculating unit is used for calculating the corresponding ability index of the enterprise to the negative public opinion information.
10. The device for monitoring the internet public opinion of the public affairs of the enterprise crisis according to claim 9, characterized in that: the third calculating unit is used for calculating the response capability index of the enterprise to the negative public opinion information according to the formula:
wherein, S is the index of the corresponding ability, R is the public opinion reply rate, N is the corresponding quantity of the negative public opinion information, T is the reply rate, and K is the reply acceptance rate.
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| CN114020869A (en) * | 2021-11-08 | 2022-02-08 | 四川大学锦江学院 | College public opinion analysis system and analysis method |
| CN114528416A (en) * | 2022-02-25 | 2022-05-24 | 上海数仑数字信息技术有限公司 | Enterprise public opinion environment monitoring method and system based on big data |
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| CN114021788A (en) * | 2021-10-25 | 2022-02-08 | 深圳市维度数据科技股份有限公司 | Prediction method, prediction device, electronic equipment and storage medium |
| CN114020869A (en) * | 2021-11-08 | 2022-02-08 | 四川大学锦江学院 | College public opinion analysis system and analysis method |
| CN114528416A (en) * | 2022-02-25 | 2022-05-24 | 上海数仑数字信息技术有限公司 | Enterprise public opinion environment monitoring method and system based on big data |
| CN114528416B (en) * | 2022-02-25 | 2024-07-12 | 上海数仑数字信息技术有限公司 | Enterprise public opinion environment monitoring method and system based on big data |
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