Microblog emotion analysis method combining microblog weak relationship

A sentiment analysis, microblogging technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of rapid changes, difficult to classify the emotional attribution of emoticons, and decreased credibility of sentiment analysis results.

Inactive Publication Date: 2018-09-28
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

However, this method has poor operability
Moreover, in the Internet age, the emotional attribution of emoticons is difficult to divide or changes rapidly, which reduces the credibility of sentiment analysis results.

Method used

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  • Microblog emotion analysis method combining microblog weak relationship
  • Microblog emotion analysis method combining microblog weak relationship
  • Microblog emotion analysis method combining microblog weak relationship

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Embodiment Construction

[0063] The present invention is further described below:

[0064] A microblog sentiment analysis method combined with microblog weak relationship is characterized in that: comprising the following steps:

[0065] Step (1): According to the emotional consistency theory in sociology, calculate the emotional consistency relationship matrix between microblogs, and establish a microblog sentiment analysis model based on emotional consistency:

[0066] Step (1.1): According to the microblog information released by the user, establish the emotional consistency relationship matrix A between microblogs sc :

[0067] A sc =U T ×U;

[0068] In the above formula, U is the user microblog matrix, and the i-th row and j-th column of U represent the user u i posted on weibo d j ;

[0069] Step (1.2): According to the emotional consistency theory in sociology, establish a microblog sentiment analysis model based on emotional consistency:

[0070]

[0071] In the above formula, L sc...

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Abstract

The invention discloses a microblog emotion analysis method combining microblog weak relationship, and belongs to the technical field of text classification. The method comprises the following steps:step (1): calculating an emotion consistency relationship matrix between microblogs, and establishing a microblog emotion analysis model based on the emotion consistency; step (2): calculating a microblog emotional infectivity matrix, and establish a microblog emotion analysis model based on the emotional infectivity; step (3): using a community partitioning algorithm to calculate the microblog weak relationship matrix, and establishing a microblog emotion analysis model based on the microblog weak relationship; step (4): combining the steps (1), (2) and (3) to obtain a comprehensive model, and then adding the emotion analysis model based on the microblog text content and performing regularization to obtain a final model; step (5): optimizing the final model and solving a microblog emotionanalyzer. The microblog emotion analysis method combining microblog weak relationship in the invention not only utilizes the microblog matrix, but also considers the text content of the microblog, which is more accurate and credible.

Description

technical field [0001] The invention belongs to the technical field of text classification, and in particular relates to a microblog sentiment analysis method combined with microblog weak relationships. Background technique [0002] According to the survey of "2010 China Internet Public Opinion Analysis Report", the number of replies on Sina Weibo reached 2.6 million on the topic of "Tencent and 360 War" among the hot spots on the Internet in 2010, and the number of related comments on "Shanghai World Expo" also reached 1.06 million articles, far exceeding the number of news reports, communities, and forums. On July 23, 2011, the Wenzhou high-speed train incident received 2.82 million comments on Sina Weibo, and 6.84 million replies on Tencent Weibo. It can be seen that Weibo has become one of the important media for the dissemination of public opinion. Sentiment analysis on Weibo is the main means to grasp the emotional feedback of netizens on emergencies. [0003] With t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/00
CPCG06Q50/01
Inventor 杨静邹晓梅张健沛韩宏宇张薇
Owner HARBIN ENG UNIV
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