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Personal character description method based on microblog text

A text and microblogging technology, applied in special data processing applications, instruments, data mining, etc., can solve the problems of low data availability and high cost, and achieve the effect of avoiding untrue survey information

Inactive Publication Date: 2016-12-07
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Problems solved by technology

[0005] The present invention aims at the needs of public opinion monitoring and social marketing for character characterization, in order to solve the difficulties of high cost and low data availability brought about by traditional survey research, and to avoid the situation that respondents fill in false information, with the help of the current popular socialization Media, proposed a method of character characterization based on Weibo text

Method used

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  • Personal character description method based on microblog text
  • Personal character description method based on microblog text
  • Personal character description method based on microblog text

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Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0050] The present invention studies the user portrait technology based on microblog text character characterization, considers people's language and word habits in microblog, establishes a dictionary of emotions and topics, and characterizes the character characteristics from the perspectives of emotion and language. Then combine the characteristics of these two angles to get the character characteristics of the characters. Firstly, we classify the emotions of Weibo texts, count the number and fluctuation characteristics of emotions in units of days, and then describe the characters' personalities from the perspective of emotions according to these characteristics. At the same time, according to the topic dictionary, the microblog texts of the characters are classified by topic, and users who are concerned about politics and people's livelihood topics are se...

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Abstract

The invention discloses a personal character description method based on microblog text, and belongs to the field of data mining. The method comprises the steps that each microblog text published by a user within one certain period of time is labeled with an emotion label; the number of domination days of impulsion and depression emotions of the user is calculated, and the user is labeled from the perspective of emotion control; then, all microblog text of the user is classified based on attention topics, and attentions topics of the user are selected; whether the attentions topics of the user comprise politics and people's livelihood, and if yes, a criticalness dictionary is used for language characteristic description on the user; if not, no treatment is carried out; finally, the user character is presented by combining the user emotion characteristics and language characteristics, and a character label is obtained. The method has the advantages of being applicable to describing and analyzing personal characteristics in the microblog, and has the important application value in the fields of public opinion monitoring, character attribute description, information spreading and diffusion and the like.

Description

technical field [0001] The invention belongs to the field of data mining and relates to user portrait technology, in particular to a method for characterizing characters based on microblog text. Background technique [0002] With the continuous increase of the scale of Internet users, social media has also developed rapidly. Social media represented by forums, Weibo, and WeChat have gradually penetrated into every aspect of people's lives and work, and have had a profound impact on people's behavior patterns and psychological patterns. Social media generates a large number of short texts every day, reflecting the characteristics of characters to a certain extent. By describing the characteristics of the characters, on the one hand, people can understand the personal preferences of the characters in social media. According to personal preferences, the company recommends products to relevant groups through social media to increase the benefits of the company. On the other ha...

Claims

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/205G06F40/216G06F40/242G06F2216/03
Inventor 刘春阳吴俊杰王卿苗琳袁石王萌张旭
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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