A micro-blog-oriented emotional community classification method

A classification method and emotion technology, applied in the field of emotion analysis, can solve the problems of ignoring text content and the classification effect of emotion dictionary is not ideal.

Active Publication Date: 2019-01-15
NORTHEASTERN UNIV
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AI Technical Summary

Problems solved by technology

[0007] To sum up, the traditional community discovery is based on the network structure, while ignoring the text content generated by users, and the effect of classification based on sentiment lexicon is not ideal

Method used

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  • A micro-blog-oriented emotional community classification method
  • A micro-blog-oriented emotional community classification method
  • A micro-blog-oriented emotional community classification method

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] A microblog-oriented emotional community classification method, the process is as follows figure 1 As shown, the specific method is as follows:

[0050] In this embodiment, by building a distributed crawler framework, the microblog data published from May 2, 2016 to May 16, 2016 was crawled, and a total of 9,028,632 microblogs and 539,564 users were collected. Filter and screen blogs, clean out some content such as forwarding Weibo, replying to Weibo, advertisements, news, etc., and filter some Weibo mixed with Chinese, English, Chinese, Japanese, and Chinese and Korean, and finally convert traditional Weibo ...

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Abstract

The invention provides an emotion community classification method oriented to microblogging, which relates to the technical field of emotion analysis. The method includes: establishing naive Bayesianclassification algorithm SL based on emotion dictionary and emotion expression; SE-NB; users who build LPA-based topic models-Super topic-Sub topic- Keywords UTK; topics are classified into three emotional communities: positive, negative and neutral. The invention provides an emotional community classification method based on micro-blog, this method can not only find the affective community with high modularity, moreover, the running time is within the acceptable range. This method can not only monitor the public opinion of micro-blog users for the relevant departments, but also help businesses to reduce business losses, and can also provide psychological research institutions with the results of emotional change analysis of people on sensitive topics.

Description

technical field [0001] The invention relates to the technical field of sentiment analysis, in particular to a microblog-oriented sentiment community classification method. Background technique [0002] With the emergence and popularization of Web2.0, Internet users have rapidly changed from information consumers to corresponding producers. With the help of social network platforms represented by Weibo, users can freely express their emotions and interact with each other, making it possible for users with the same preferences across geographic locations to gather into a community. Therefore, by mining and analyzing massive social network data, discovering potential communities among them has become a hot research issue in recent years. [0003] At present, the online social network has become an indispensable bridge connecting the network virtual space and the human physical world. If it is possible to analyze user groups with consistent emotional tendencies under a certain...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/00
CPCG06Q50/01G06F18/28G06F18/24155G06F18/214
Inventor 韩东红张宏亮朱帅伟贾云龙乔百友刘莹
Owner NORTHEASTERN UNIV
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