Network social media viewpoint tendency analysis system and method

A technology of network socialization and analysis system, applied in the field of network information processing, can solve the problems of inability to meet the emotional tendency analysis of Internet public opinion information, complex analysis process, difficulty in adapting to the diversity of network social media, etc.

Inactive Publication Date: 2017-07-14
HUANGHUAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the existing media opinion analysis and collection technology, the analysis process is relatively complicated, the accuracy of sentiment analysis is not high, and the sentiment judgment of opinions is difficult to adapt to the diversity of social media on the Internet, and cannot satisfy the user's emotional tendency to Internet public opinion information. In order to solve problems such as gender analysis, the present invention provides a network social media opinion tendency analysis method and system that can accurately extract opinions and quickly analyze the tendency of opinions

Method used

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  • Network social media viewpoint tendency analysis system and method
  • Network social media viewpoint tendency analysis system and method

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Experimental program
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Embodiment 1

[0066] Such as figure 1 As shown, Embodiment 1 of the present invention provides a network social media point of view tendency analysis system, which is the product of the fusion of multiple disciplines for point of view mining and sentiment tendency analysis, which involves artificial intelligence, linguistics, machine learning, Data mining, information retrieval and other fields mainly identify and extract subjective information from massive raw data, and judge the attitude of reviewers towards a certain thing or a certain event. The system includes a database 1 and a webpage crawling module 2 communicating with the database 1, an opinion collection module 3, a data filtering module 4, and a polarity analysis module 5. The database 1 can be a corpus, and the database 1 is used to store positive data. To the emotion cluster 101 and the negative emotion cluster 102, in the positive emotion cluster 101 and the negative emotion cluster 102, some emotional words or words are stor...

Embodiment 2

[0074]Embodiment 2 of the present invention further defines the structure of the analysis system on the basis of Embodiment 1, which effectively improves the analysis efficiency of the system for viewpoint information.

[0075] Such as figure 2 As shown, in order to reduce the workload of the system, it is necessary to filter the collected opinion information, so as to prevent the sentimental tendency analysis of the opinion information irrelevant to the topic of comments. Communication topic factor extraction unit 401 , relevant model construction unit 402 , keyword extraction unit 403 , correlation degree judgment unit 404 , and filtering review unit 405 .

[0076] The topic factor extraction unit 401 is used to extract several key factors related to the comment topic in the comment interaction webpage, the key factors include keywords in the comment topic, adjectives used to comment on the comment topic ; When extracting the key factors in the topic of the review, extract...

Embodiment 3

[0081] Embodiment 3 of the present invention further limits how the system performs polarity analysis on the basis of Embodiment 1, and improves the convenience of polarity analysis of viewpoint information.

[0082] Such as Figure 4 As shown, what needs to be further defined is that the polarity analysis module 5 includes a communicating threshold preset unit 501, a word extraction unit 502, a matching degree judgment unit 503, an emotional tendency processing unit 504, and an emotional tendency analysis unit 505 , label marking unit 506;

[0083] The threshold preset unit 501 is used to preset the tendency threshold +F for the emotional words or words in the positive emotion cluster 101, and to preset the emotional words or words in the negative emotion cluster 102. Set the propensity threshold-F, where F is an integer. The setting of the tendency threshold can be used to calculate the sentiment tendency value of the viewpoint information, so as to facilitate the judgment...

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Abstract

The invention provides a network social media viewpoint tendency analysis system and method. The system comprises a database, a webpage capture module, a viewpoint collection module, a data filtering module and a polarity analysis module, wherein the database is used for storing a positive emotion cluster and a negative emotion cluster; the webpage capture module is used for capturing a comment interaction webpage of network social media through a webpage crawler; the viewpoint collection module is used for reading multiple pieces of viewpoint information of user comments in the comment interaction webpage; the data filtering module is used for screening the viewpoint information; and the polarity analysis module is used for analyzing emotional tendency of the viewpoint information. According to the system and the method, subjective information can be identified and extracted from massive original data in the comment interaction webpage of the network social media, and the attitude of a comment viewpoint of a commenter to a thing or an event is judged, so that a large amount of valuable viewpoint information is prevented from being flooded, the pressure caused by viewpoint information overload is relieved, and the emotional tendency of the viewpoint information can be quickly analyzed.

Description

technical field [0001] The present invention relates to the technical field of network information processing, and in particular to a system and method for analyzing the opinion tendency of network social media. Background technique [0002] The Internet has become one of the most important platforms for people to obtain and exchange information. Compared with traditional media, one of the biggest characteristics of the Internet is freedom, openness, and timeliness. Anyone can use blogs, forums, Weibo, space, etc. Post opinions and reviews on the Internet. Internet-based social media has greatly facilitated people to express their views and opinions on policies, news, social events, hot people and e-commerce products that they are interested in on the Internet. Online social media is becoming an important carrier and channel for the maintenance of human social relations and information dissemination, which has had a profound impact on national security and social developmen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06Q50/00
CPCG06F40/289G06F40/30G06Q50/01
Inventor 王春华韩栋韩枫李峰曾步衢
Owner HUANGHUAI UNIV
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