Network public opinion potential enterprise reputation risk assessment system

Abstract

The invention is suitable for the technical field of risk assessment, and provides a network public opinion potential enterprise reputation risk assessment system, which comprises a client, a task module is arranged in the client, the signal output end of the task module is in signal connection with a processing module, and the signal input end of the processing module is in signal connection with an acquisition module. The signal input end of the acquisition module is in signal connection with a cloud end, the signal output end of the processing module is in signal connection with a calculation module, the signal output end of the calculation module is in signal connection with a data transmission module, and the signal output end of the data transmission module is in signal connection with a conversion module. The data is calculated through the calculation module, the occurrence frequency of different public opinion words is calculated, the calculated data can be converted through the conversion module, tables and charts can be formed by the data, and the data can be evaluated through the evaluation module.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment, and more specifically, it relates to a system for assessing potential corporate reputation risks of online public opinion. Background Art

[0002] Companies or consumers often share text, pictures, videos, and other various multimedia information about a company's products or services with other Internet users through online platforms such as forums, blogs, and official accounts. After these multimedia information are widely spread on the Internet, they will affect the credibility of the company's brand, that is, online word-of-mouth or online public opinion, thus having a certain impact on the development of the company. The online public opinion spread on various Internet platforms has both positive and negative aspects. Positive online public opinion is conducive to expanding the influence of the company's brand and promoting the development of the company, while negative online public opinion will damage the company's brand and bring adverse effects to the company's development.

[0003] Currently, due to the huge amount of information on the Internet and its rapid spread, there will inevitably be some negative online public opinions about enterprises. However, these negative online public opinions will affect consumers' impressions and evaluations of enterprises and their products, and the potential risks brought by these negative online public opinions always exist. If these potential dangers are not discovered in time and once they form a scale through the Internet, it is very likely to endanger the life of the enterprise. Therefore, if an enterprise wants to develop, it needs to always prevent and timely discover the potential dangers brought by online public opinion and avoid the outbreak of dangers that will endanger the life of the enterprise. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a system for assessing potential corporate reputation risks of online public opinion.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A system for assessing potential corporate reputation risks of online public opinion includes a client. A task module is arranged inside the client. The signal output end of the task module is signal-connected to a processing module. The signal input end of the processing module is signal-connected to a collection module. The signal input end of the collection module is signal-connected to the cloud. The signal output end of the processing module is signal-connected to a calculation module. The signal output end of the calculation module is signal-connected to a data transmission module. The signal output end of the data transmission module is signal-connected to a conversion module. The signal output end of the conversion module is signal-connected to an evaluation module. The signal output end of the evaluation module is signal-connected to the signal input end of the client.

[0007] The present invention is further configured such that: the task module includes a search module, a refresh module, an editing module, and a pruning module. The search module searches for the final result, the refresh module refreshes the data, the convenience module facilitates the commands, and the pruning module can delete and modify the commands.

[0008] The present invention is further configured such that: a signal output terminal of the calculation module is signal-connected to a marking module, and the marking module marks the public opinion words in the data.

[0009] The present invention is further configured such that: a signal output terminal of the marking module is signal-connected to an alarm module.

[0010] The present invention is further configured such that: a signal output terminal of the editing module is signal-connected to a storage module, and the storage module stores the input commands and other words.

[0011] The present invention is further configured such that: the storage module includes a classification module and a recording module. The classification module can classify and store the data, and the recording module stores the command history.

[0012] The present invention is further configured such that: the processing module includes an analysis module, a comparison module, and a summary module. Through the analysis module and the comparison module, the collected data can be compared and analyzed with the task commands.

[0013] The advantages of the present invention are:

[0014] 1. For a system for evaluating potential enterprise reputation risks in online public opinion of the present invention, the calculation module calculates the data and calculates the occurrence times of different public opinion words. The calculated data can be converted by the conversion module, and the data is formed into tables and charts. Through the evaluation module, the data can be evaluated, and the data is transmitted to the client to warn of potential risks in the enterprise's online public opinion, enabling the enterprise to discover risks in a timely manner and take measures.

[0015] 2. For a system for evaluating potential enterprise reputation risks in online public opinion of the present invention, through the analysis module and the comparison module, the collected data can be compared and analyzed with the task commands, thereby identifying the enterprise's online public opinion words and centrally processing them through the summary module.

[0016] 3. For a system for evaluating potential enterprise reputation risks in online public opinion of the present invention, through the alarm module, an alarm message can be sent when the number of public opinion words is large, enabling the staff to timely understand the changes in public opinion. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flowchart of a system for evaluating potential enterprise reputation risks in online public opinion of the present invention;

[0018] Figure 2 Block diagram of the storage module of the present invention;

[0019] Figure 3 Block diagram of the processing module of the present invention. Specific embodiments

[0020] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in combination with the embodiments.

[0021] Embodiment 1:

[0022] Please refer to Figures 1-3 , the present invention provides the following technical solution: A system for evaluating potential enterprise reputation risks in online public opinion, including a client. Inside the client, there is a task module. Through the task module, staff can manually fill in words to formulate tasks. The signal output end of the task module is signal-connected to a processing module. Through the processing module, the collected data can be processed. The signal input end of the processing module is signal-connected to a collection module. The signal input end of the collection module is signal-connected to the cloud. Through the collection module, comments in the cloud can be collected. The signal output end of the processing module is signal-connected to a calculation module. Through the calculation module, data can be calculated, and the occurrence times of different public opinion words can be calculated. The signal output end of the calculation module is signal-connected to a data transmission module. The signal output end of the data transmission module is signal-connected to a conversion module. The conversion module can convert the data and make the data form a table and a chart. The signal output end of the conversion module is signal-connected to an evaluation module. The evaluation module can evaluate the data and give a warning about the potential risks of the enterprise's online public opinion. The signal output end of the evaluation module is signal-connected to the signal input end of the client.

[0023] Specifically, the task module includes a search module, a refresh module, an editing module, and a pruning module. The signal output end of the editing module is signal-connected to a storage module. The storage module can store words such as input commands, enabling staff to reuse different commands. The search module can search for the final result. The refresh module can refresh the data. The convenient module can edit the commands. Through the pruning module, commands can be deleted and modified.

[0024] The storage module includes a classification module and a recording module. Through the classification module, data can be classified and stored. The recording module can store the command history.

[0025] The processing module includes an analysis module, a comparison module, and a summary module. Through the analysis module and the comparison module, the collected data can be compared and analyzed with the task commands, so as to identify the enterprise's online public opinion words, and through the summary module, centralized processing is carried out.

[0026] Example 2: On the basis of Example 1:

[0027] A system for evaluating potential enterprise reputation risks in online public opinion includes a client. Inside the client, there is a task module. Through the task module, staff can manually fill in words to formulate tasks. The signal output end of the task module is signal-connected to a processing module. Through the processing module, the collected data can be processed. The signal input end of the processing module is signal-connected to a collection module. The signal input end of the collection module is signal-connected to the cloud. Through the collection module, comments in the cloud can be collected. The signal output end of the processing module is signal-connected to a calculation module. Through the calculation module, the data can be calculated, and the occurrence times of different public opinion words can be calculated. The signal output end of the calculation module is signal-connected to a data transmission module. The signal output end of the data transmission module is signal-connected to a conversion module. The conversion module can convert the data and form the data into tables and charts. The signal output end of the conversion module is signal-connected to an evaluation module. The evaluation module can evaluate the data and give a warning about the potential risks of the enterprise's online public opinion. The signal output end of the evaluation module is signal-connected to the signal input end of the client.

[0028] The evaluation module is divided into three levels: Level 1: The public opinion in the cloud comments is greater than one-half of the total amount;

[0029] Level 2: The public opinion in the cloud comments is greater than one-third of the total amount;

[0030] Level 3: The public opinion in the cloud comments is greater than one-fourth of the total amount;

[0031] Specifically, the task module includes a search module, a refresh module, an editing module, and a pruning module. The signal output end of the editing module is signal-connected to a storage module. The storage module can store input commands and other words, enabling staff to reuse different commands. The search module can search for the final results. The refresh module can refresh the data. The convenient module can edit the commands. Through the pruning module, the commands can be deleted and modified.

[0032] The signal output end of the calculation module is signal-connected to a marking module. The marking module can mark the public opinion words in the data, enabling staff to more clearly observe different public opinion words.

[0033] The storage module includes a classification module and a recording module. Through the classification module, the data can be classified and stored. The recording module can store the command history.

[0034] The processing module includes an analysis module, a comparison module, and a summary module. Through the analysis module and the comparison module, the collected data can be compared and analyzed with the task commands, so as to identify the enterprise network public opinion words, and the summary module is used for centralized processing.

[0035] Embodiment 3: On the basis of Embodiments 1 and 2:

[0036] A system for evaluating potential enterprise reputation risks in network public opinion includes a client. Inside the client, there is a task module. Through the task module, staff can manually fill in words to formulate tasks. The signal output end of the task module is signal-connected to a processing module. Through the processing module, the collected data can be processed. The signal input end of the processing module is signal-connected to a collection module. The signal input end of the collection module is signal-connected to the cloud. Through the collection module, comments in the cloud can be collected. The signal output end of the processing module is signal-connected to a calculation module. Through the calculation module, data can be calculated, and the occurrence times of different public opinion words can be calculated. The signal output end of the calculation module is signal-connected to a data transmission module. The signal output end of the data transmission module is signal-connected to a conversion module. The conversion module can convert the data and make the data form tables and charts. The signal output end of the conversion module is signal-connected to an evaluation module. The evaluation module can evaluate the data and give a warning about the potential risks of enterprise network public opinion. The signal output end of the evaluation module is signal-connected to the signal input end of the client.

[0037] The evaluation module is divided into three levels: Level 1: The public opinion in the cloud comments is greater than one-half of the total amount;

[0038] Level 2: The public opinion in the cloud comments is greater than one-third of the total amount;

[0039] Level 3: The public opinion in the cloud comments is greater than one-fourth of the total amount;

[0040] Specifically, the task module includes a search module, a refresh module, an edit module, and a pruning module. The signal output end of the edit module is signal-connected to a storage module. The storage module can store input commands and other words, enabling staff to reuse different commands. The search module can search for the final results. The refresh module can refresh the data. The convenient module can edit the commands. Through the pruning module, commands can be deleted and modified.

[0041] The signal output end of the calculation module is signal-connected to a marking module. The marking module can mark the public opinion words in the data, enabling staff to more clearly observe different public opinion words.

[0042] The signal output terminal of the marking module is connected to the warning module, and the warning module can send out alarm information when the number of public opinion words is large, enabling the staff to timely understand the changes in public opinion.

[0043] The storage module includes a classification module and a recording module. The classification module can classify and store data, and the recording module can store the command history.

[0044] The processing module includes an analysis module, a comparison module, and a summary module. The analysis module and the comparison module can compare and analyze the collected data with the task commands to identify the enterprise network public opinion words, and the summary module conducts centralized processing.

[0045] Working principle: A system for evaluating potential risks of enterprise reputation in network public opinion. When in use, through the task module, the staff can manually fill in words to formulate tasks. The collection module can collect comments in the cloud, and the collected data is transmitted to the processing module. The processing module processes the data according to the commands of the task module. The processing module can compare and analyze the collected data with the task commands through the analysis module and the comparison module to identify the enterprise network public opinion words, and the summary module conducts centralized processing. The processed data can be calculated by the calculation module, and the occurrence times of different public opinion words can be calculated. The calculated data can be converted by the conversion module to form tables and charts, and the data can be evaluated by the evaluation module and transmitted to the client to warn of potential risks of enterprise network public opinion;

[0046] The storage module can store words such as input commands, enabling the staff to reuse different commands. The search module can search for the final results, the refresh module can refresh the data, the convenience module can make the commands convenient, and the pruning module can delete and modify the commands;

[0047] The warning module can send out alarm information when the number of public opinion words is large, enabling the staff to timely understand the changes in public opinion.

[0048] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A potential enterprise reputation risk assessment system for online public opinion, including a client, characterized in that: A task module is internally set in the client. The signal output end of the task module is signal-connected to a processing module. The signal input end of the processing module is signal-connected to a collection module. The signal input end of the collection module is signal-connected to the cloud. The signal output end of the processing module is signal-connected to a calculation module. The signal output end of the calculation module is signal-connected to a data transmission module. The signal output end of the data transmission module is signal-connected to a conversion module. The signal output end of the conversion module is signal-connected to an evaluation module. The signal output end of the evaluation module is signal-connected to the signal input end of the client.

2. The potential enterprise reputation risk assessment system for online public opinion according to claim 1, wherein: The task module includes a search module, a refresh module, an editing module, and a pruning module. The search module searches for the final result. The refresh module refreshes the data. The convenience module makes commands convenient. The pruning module can delete and modify commands.

3. The potential corporate reputation risk assessment system for online public opinion according to claim 2, characterized in that: The signal output end of the calculation module is signal-connected to a marking module. The marking module marks the public opinion words in the data.

4. The online public opinion potential enterprise reputation risk assessment system according to claim 3, characterized in that: The signal output end of the marking module is signal-connected to a warning module.

5. The potential enterprise reputation risk assessment system for online public opinion according to claim 2, characterized in that: The signal output end of the editing module is signal-connected to a storage module. The storage module stores input commands and other words.

6. The potential corporate reputation risk assessment system for online public opinion according to claim 5, characterized in that: The storage module includes a classification module and a recording module. The classification module can classify and store data. The recording module stores the command history.

7. The potential enterprise reputation risk assessment system for online public opinion according to claim 6, characterized in that: The processing module includes an analysis module, a comparison module, and a summary module. Through the analysis module and the comparison module, the collected data can be compared and analyzed with the task commands.

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