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A Sentimental Community Classification Method for Weibo

A classification method and emotion technology, applied in the field of emotion analysis, can solve problems such as ignoring text content and unsatisfactory classification effect of emotion dictionary

Active Publication Date: 2021-07-06
NORTHEASTERN UNIV LIAONING
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  • Description
  • Claims
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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 Sentimental Community Classification Method for Weibo
  • A Sentimental Community Classification Method for Weibo
  • A Sentimental Community Classification Method for Weibo

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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 a microblog-oriented emotional community classification method and relates to the technical field of emotional analysis. The method includes: establishing a naive Bayesian classification algorithm SL-SE-NB based on sentiment lexicon and emotional expressions; establishing a four-layer model UTK of user-super-topic-sub-topic-keyword based on the LPA topic model; Emotion classification, forming three emotional communities of positive, negative and neutral. The present invention provides a method for classifying emotional communities based on microblogs. This method can not only discover emotional communities with high modularity, but also the running time is within an acceptable range. This method can monitor microblogs for relevant departments. The user's public opinion orientation can help merchants reduce business losses, and can also provide psychological research institutions with emotional change analysis results of sensitive topic groups.

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 Patents(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 LIAONING
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