Tibetan language microblog emotional tendency analysis method and system

A technology of emotional orientation and analysis method, which is applied in the field of emotional orientation analysis of Tibetan microblogs. It can solve problems such as complex sentence patterns, short texts of Weibo topics, and lack of emotional analysis methods to achieve accurate analysis results.

Inactive Publication Date: 2017-08-29
MINZU UNIVERSITY OF CHINA
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Problems solved by technology

[0003] There are microblogs in Chinese, English, Tibetan and other languages ​​in Weibo. Among the existing sentiment analysis methods, there are sentiment analysis methods for microblogs with Chinese and English content, but there is no one for Tibetan content. The sentiment analysis method of Weibo, Tibetan language has its own language characteristics, Weibo topics have the characteristics of short text, complex sentence patterns, many buzzwords, many emoticons, and user interaction. Therefore, a combination of Tibetan language itself is needed. The emotional tendency analysis method of Tibetan microblog is analyzed by using the language characteristics of Tibetan language and the characteristics of microblog

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  • Tibetan language microblog emotional tendency analysis method and system
  • Tibetan language microblog emotional tendency analysis method and system
  • Tibetan language microblog emotional tendency analysis method and system

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[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] The purpose of the present invention is to provide a method and system for analyzing the emotional tendency of Tibetan microblogs.

[0046] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] Such as figure 1 As shown, a Tibetan microblog sentiment analysis...

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Abstract

The invention discloses a Tibetan language microblog emotional tendency analysis method and system. By means of a collection module and a preprocessing module, collected Tibetan language microblog text information is preprocessed, and a Tibetan language text sequence database is obtained; emotional analysis processing is conducted on the Tibetan language text sequence database through an analysis module to obtain emotion feature parameters; a space model module is built according to the emotion feature parameters, and an emotion vector space model is constructed; an emotion classification module carries out emotion classification on current microblog text information according to the emotion vector space model, and emotion information of the current microblog text information is obtained. By adopting the Tibetan language emotion analysis method and the method for constructing the space model, emotional tendency analysis of Tibetan language microblogs is achieved.

Description

technical field [0001] The invention relates to the field of Tibetan microblogs, in particular to a method and system for analyzing the emotional tendency of Tibetan microblogs. Background technique [0002] As an important channel for information exchange, news release and acquisition in China, the Weibo platform has a great impact on the lives of modern people. The point of view of the event. [0003] There are microblogs in Chinese, English, Tibetan and other languages ​​in Weibo. Among the existing sentiment analysis methods, there are sentiment analysis methods for microblogs with Chinese and English content, but there is no one for Tibetan content. The sentiment analysis method of Weibo, Tibetan language has its own language characteristics, Weibo topics have the characteristics of short text, complex sentence patterns, many buzzwords, many emoticons, and user interaction. Therefore, a combination of Tibetan language itself is needed. The language characteristics and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/35G06F40/30
Inventor 邱莉榕
Owner MINZU UNIVERSITY OF CHINA
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