CN111859064A - Enterprise risk assessment public opinion early warning system - Google Patents
Enterprise risk assessment public opinion early warning system Download PDFInfo
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- CN111859064A CN111859064A CN202010452787.0A CN202010452787A CN111859064A CN 111859064 A CN111859064 A CN 111859064A CN 202010452787 A CN202010452787 A CN 202010452787A CN 111859064 A CN111859064 A CN 111859064A
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Abstract
The invention discloses a public opinion early warning system for enterprise risk assessment, relates to the technical field of public opinion early warning, and aims to solve the problem that the conventional enterprise risk assessment public opinion early warning system only performs early warning on a single department generally and aims to solve the problem of poor negative public opinion processing effect. The output of monitoring channel links to each other with the input that the crawler snatched, the output that the crawler snatched links to each other with public opinion analysis's input, public opinion analysis's output links to each other with the input of public opinion report, the output of public opinion report links to each other with the input of public opinion early warning, the output of public opinion early warning links to each other with the input of public opinion circulation, and the monitoring channel includes website of enterprise, enterprise's microblog, enterprise's little letter, enterprise's sticker, enterprise forum and enterprise's blog.
Description
Technical Field
The invention relates to the technical field of public opinion early warning, in particular to a public opinion early warning system for enterprise risk assessment.
Background
From the traditional social theory, the public sentiment itself is a concept in the theory of folk meaning, which is a comprehensive reflection of folk meaning. In the strict sense of modern public opinion theory, public opinion itself is not a simple generalization of the rules of civilian meaning, but a description of "the civilian meaning and its action on the practitioner and its political orientation rules". In practical work, a public sentiment information worker has to grasp four layers of meanings for understanding the concept of the public sentiment: 1. public sentiment is the reflection of a collection of ideas. In other words, the folk meaning is the origin of forming public sentiment, and without the folk meaning, there is no public sentiment; 2. the ideas reflected by the public sentiment are all 'ideas' which can influence the decision-making behavior of a medical practitioner, but not all the ideas; 3. public opinion cause and change matters are the basis of public opinion generation, public opinions are researched and analyzed, and the rules of occurrence, development and change of the public opinion cause and change matters are deeply researched and analyzed; 4. the public sentiment space plays an important role in public sentiment propagation and influence thereof on decision behaviors of a medical practitioner. It is particularly emphasized here that "socio-political attitude of the masses" in the definition of public sentiment refers to the belief, opinion and attitude of the masses to the practitioner and the political orientation they hold. The social political attitude of the people is just a appeal and expression of the demand for the benefits of the people, and comprises the opinions, opinions and attitudes of the people on the national politics, the opinions, attitudes of the people on the social politics, and the opinions, opinions and attitudes of the people on social things.
However, the existing enterprise risk assessment public opinion early warning system usually only carries out early warning on a single department, and the processing effect for negative public opinions is not good; therefore, the existing requirements are not met, and an enterprise risk assessment public opinion early warning system is provided for the existing requirements.
Disclosure of Invention
The invention aims to provide an enterprise risk assessment public opinion early warning system to solve the problem that the conventional enterprise risk assessment public opinion early warning system proposed in the background technology only performs early warning on a single department generally and aims at poor negative public opinion processing effect.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a public opinion early warning system of risk assessment of enterprise, includes the monitoring channel, the output of monitoring channel links to each other with the input that the crawler snatched, the output that the crawler snatched links to each other with public opinion analysis's input, public opinion analysis's output links to each other with the input of public opinion report, the output of public opinion report links to each other with the input of public opinion early warning, the output of public opinion early warning links to each other with the input of public opinion circulation.
Preferably, the monitoring channel comprises an enterprise website, an enterprise microblog, an enterprise WeChat, an enterprise post, an enterprise forum and an enterprise blog.
Preferably, the crawler grabbing comprises information grabbing, keyword retrieval, information filtering and intelligent duplicate removal, the output end of the information grabbing is connected with the input end of the keyword retrieval, the output end of the keyword retrieval is connected with the input end of the information filtering, and the output end of the information filtering is connected with the input end of the intelligent duplicate removal.
Preferably, the public opinion early warning comprises information transmission, a monitoring group and a drawing chart, wherein the output end of the information transmission is connected with the input end of the monitoring group, and the output end of the monitoring group is connected with the input end of the drawing chart.
Preferably, the information transmission mode includes APP, email and short message.
Preferably, the plotted chart comprises a trend chart, a scale pie chart, a percentage bar chart, and a flow chart.
Preferably, the public opinion analysis comprises automatic classification, automatic clustering and positive and negative judgment, the output end of the automatic classification is connected with the input end of the automatic clustering, and the output end of the automatic clustering is connected with the input end of the positive and negative judgment.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, public opinion circulation is set, negative public opinion information is finally sent to each relevant department of an enterprise, and early warning is carried out by multiple departments at the same time, so that the information of each department can be transmitted and managed in a shared manner, an optimal public opinion processing mode is obtained, and public opinion responsibility is shared.
2. Through setting up the monitoring group, the monitoring group can draw the chart according to the actual conditions of public opinion, and the chart type includes trend graph, proportion pie chart, percentage post picture and flow chart, and the monitoring group can select the chart according to the characteristic science of public opinion incident itself, can be clear, directly perceived, succinct, deep, express the public opinion incident vividly, and succinct practicality more, scientific and high-efficient makes things convenient for each department of enterprise to make the disposition scheme of major public opinion.
3. Through setting enterprise website, enterprise microblog, enterprise believe a little, enterprise's sticker bar, enterprise forum and enterprise blog into main monitoring channel, above channel all is the main divergence ground of enterprise's public opinion, can increase or reduce monitoring channel according to the demand when snatching to actual conditions adjusts, compares with current monitoring system whole network monitoring, and is more pointed, and system's pressure is little, is difficult for collapsing.
4. Carry out information transmission through adopting multiple channels such as APP, mail and SMS, can be with public opinion information transmission to monitoring group the very first time, carry out the management and control processing to the public opinion as early as possible, avoid the public opinion fermentation, be difficult to the accuse.
5. Through set up the keyword retrieval in crawler snatchs, through setting up with the enterprise name, the public opinion information that the product is relevant is retrieved out with the great relevance of enterprise, filters the advertisement, irrelevant information such as all the other columns, the system burden that can significantly reduce, and make things convenient for the system to carry out multidimension degree intelligent analysis, reachs succinct clear public opinion report.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic diagram of a crawler capture part of the present invention;
FIG. 3 is a schematic diagram of a local structure of public opinion warning according to the present invention;
FIG. 4 is a schematic diagram of a local structure of public opinion analysis according to the present invention;
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.
Referring to fig. 1-4, an embodiment of the present invention is shown: a public opinion early warning system for enterprise risk assessment comprises a monitoring channel, the output end of the monitoring channel is connected with the input end of a crawler grabber, the crawler grabber can only grab the public opinion information in the monitoring channel, and searches out the public opinion information with larger relevance to the enterprise by setting keywords relevant to the enterprise, filters out irrelevant information such as advertisements and determines whether to repeat according to the matching degree of document content, the repeated content is removed, the output end of the crawler grabber is connected with the input end of public opinion analysis, the public opinion analysis is to process the public opinion information by the system and carry out multidimensional intelligent analysis, the output end of the public opinion analysis is connected with the input end of a public opinion report, the public opinion report is automatically written by an artificial intelligence library, the output end of the public opinion report is connected with the input end of public opinion early warning, and the public opinion report transmits negative public opinion information to a monitoring group by APP, mail, short message and the like, the monitoring group draws a chart according to the actual situation of public sentiment, the chart is more concise, practical, scientific and efficient compared with a report automatically generated by a system, the output end of public sentiment early warning is connected with the input end of public sentiment circulation, the public sentiment circulation enables multi-department information of an enterprise to be transmitted and managed together, the best public sentiment processing mode is obtained, and public sentiment responsibility is shared.
Furthermore, the monitoring channels comprise enterprise websites, enterprise microblogs, enterprise WeChats, enterprise posts, enterprise forums and enterprise blogs, the above channels are main divergence places of enterprise public opinions, the monitoring channels can be increased or reduced according to requirements during grabbing, and adjustment is carried out according to actual conditions.
Furthermore, the crawler grabbing comprises information grabbing, keyword retrieval, information filtering and intelligent duplicate removal, the output end of the information grabbing is connected with the input end of the keyword retrieval, the output end of the keyword retrieval is connected with the input end of the information filtering, the output end of the information filtering is connected with the input end of the intelligent duplicate removal, the intelligent network crawler system can quickly grab information of a monitoring channel, and public opinion information with high relevance to enterprises is searched out by setting keywords related to products, advertisements are filtered, irrelevant information such as other columns and the like is determined to be repeated according to the matching degree of document content, and repeated content is removed.
Further, the public opinion early warning includes information transmission, the monitoring group with draw the chart, information transmission's output links to each other with the input of monitoring group, the output of monitoring group links to each other with the input of drawing the chart, the public opinion report is by the automatic generation of writing of artifical wisdom storehouse, through APP, modes such as mail and SMS are with negative public opinion information transmission to the monitoring group, draw the chart by the actual conditions of monitoring group according to the public opinion, the report that the system automatic generation was compared to the chart, and is more succinct and practical, scientific and efficient, make things convenient for each department of enterprise to manage.
Further, information transmission's mode includes APP, mail and SMS, carries out information transmission through multiple channel, can transmit public opinion information to monitoring group the very first time, carries out the management and control processing to the public opinion as early as possible.
Furthermore, the drawing chart comprises a trend chart, a proportional pie chart, a percentage bar chart and a flow chart, and the chart is scientifically selected according to the characteristics of the public sentiment events, so that the public sentiment events can be clearly, visually, simply, deeply and vividly represented.
Further, the public opinion analysis comprises automatic classification, automatic clustering and positive and negative judgment, the output end of the automatic classification is connected with the input end of the automatic clustering, the output end of the automatic clustering is connected with the input end of the positive and negative judgment, information obtained after crawling and refining is classified according to the similarity of keywords, the same keywords are further integrated and clustered, and finally whether the public opinion is negative public opinion or not is judged through whether negative keywords such as 'event name, accident place, casualties' and the like appear or not.
The working principle is as follows: when the system is used, the system can capture public opinion information of a monitoring channel through an intelligent crawler system, the monitoring channel comprises an enterprise website, an enterprise microblog, an enterprise WeChat, an enterprise sticking bar, an enterprise forum and an enterprise blog, the channels are main divergences of enterprise public opinions, compared with the whole-network monitoring of the existing monitoring system, the system is more targeted, the system pressure is small, the system is not easy to crash, the captured public opinion information can search out public opinion information with larger relevance to the enterprise through setting keywords relevant to the enterprise name and the product, filtering out advertisements, filtering out irrelevant information such as other columns and the like, determining whether to repeat according to the matching degree of document content, removing repeated content, then carrying out multi-dimensional intelligent analysis by the system according to the acquired data, classifying according to the similarity of the keywords, further integrating and clustering the same keywords, finally, whether negative public sentiment exists is judged by whether negative keywords such as 'event name, incident place, casualty number' and the like, a negative public sentiment report is automatically written by an artificial intelligence library, negative public sentiment information is transmitted to a monitoring group by modes such as APP, mails, short messages and the like, the monitoring group draws a chart according to the actual situation of the public sentiment, the chart types comprise a trend chart, a proportional pie chart, a percentage column chart and a flow chart, the monitoring group can scientifically select the chart according to the characteristics of the public sentiment event, the public sentiment event can be clearly, visually, concisely, deeply and vividly expressed, the method is more concise and practical, scientific and efficient, the management of all departments of an enterprise is facilitated, the generated public sentiment information finally flows to multiple departments, the information of the multiple departments can be transmitted, the multiple departments can be managed in a shared manner, the best public sentiment processing mode is obtained, and the public sentiment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (7)
1. The utility model provides an enterprise risk assessment public opinion early warning system, includes the monitoring channel, its characterized in that: the output of monitoring channel links to each other with the input that the crawler snatched, the output that the crawler snatched links to each other with public opinion analysis's input, public opinion analysis's output links to each other with the input of public opinion report, the output of public opinion report links to each other with the input of public opinion early warning, the output of public opinion early warning links to each other with the input of public opinion circulation.
2. The enterprise risk assessment public opinion early warning system according to claim 1, characterized in that: the monitoring channel comprises an enterprise website, an enterprise microblog, an enterprise WeChat, an enterprise post, an enterprise forum and an enterprise blog.
3. The enterprise risk assessment public opinion early warning system according to claim 1, characterized in that: the crawler grabbing comprises information grabbing, keyword retrieval, information filtering and intelligent duplicate removal, wherein the output end of the information grabbing is connected with the input end of the keyword retrieval, the output end of the keyword retrieval is connected with the input end of the information filtering, and the output end of the information filtering is connected with the input end of the intelligent duplicate removal.
4. The enterprise risk assessment public opinion early warning system according to claim 1, characterized in that: the public opinion early warning comprises information transmission, a monitoring group and a drawing chart, wherein the output end of the information transmission is connected with the input end of the monitoring group, and the output end of the monitoring group is connected with the input end of the drawing chart.
5. The enterprise risk assessment public opinion early warning system according to claim 4, characterized in that: the information transmission mode comprises APP, mails and short messages.
6. The enterprise risk assessment public opinion early warning system according to claim 4, characterized in that: the plot includes a trend chart, a scale pie chart, a percentage bar chart, and a flow chart.
7. The public opinion warning system for enterprise risk assessment as claimed in claim 1, wherein: public opinion analysis includes automatic classification, automatic clustering and positive negative judgement, automatic classification's output links to each other with the input of automatic clustering, the output of automatic clustering links to each other with the input of positive negative judgement.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010452787.0A CN111859064A (en) | 2020-05-26 | 2020-05-26 | Enterprise risk assessment public opinion early warning system |
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| CN202010452787.0A CN111859064A (en) | 2020-05-26 | 2020-05-26 | Enterprise risk assessment public opinion early warning system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112711651A (en) * | 2020-12-30 | 2021-04-27 | 上海金仕达软件科技有限公司 | Public opinion monitoring method and system |
| CN115187017A (en) * | 2022-06-27 | 2022-10-14 | 河南鑫安利安全科技股份有限公司 | Enterprise safety risk intelligent evaluation system |
| CN117709914A (en) * | 2024-02-05 | 2024-03-15 | 天津徙木科技有限公司 | Post matching method and system |
-
2020
- 2020-05-26 CN CN202010452787.0A patent/CN111859064A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112711651A (en) * | 2020-12-30 | 2021-04-27 | 上海金仕达软件科技有限公司 | Public opinion monitoring method and system |
| CN115187017A (en) * | 2022-06-27 | 2022-10-14 | 河南鑫安利安全科技股份有限公司 | Enterprise safety risk intelligent evaluation system |
| CN117709914A (en) * | 2024-02-05 | 2024-03-15 | 天津徙木科技有限公司 | Post matching method and system |
| CN117709914B (en) * | 2024-02-05 | 2024-05-10 | 台州徙木数字服务有限公司 | Post matching method and system |
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