A micro-blog emotion analysis method and system

A sentiment analysis, microblogging technology, applied in the direction of text database clustering/classification, special data processing applications, instruments, etc., can solve problems such as poor timeliness, achieve accurate sentiment trends, and take into account the effects of accuracy and timeliness

Inactive Publication Date: 2019-03-29
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Most of the research is static sentiment analysis on the existing data sets, and the timeliness is poor

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  • A micro-blog emotion analysis method and system
  • A micro-blog emotion analysis method and system
  • A micro-blog emotion analysis method and system

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Embodiment Construction

[0066] 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.

[0067] The purpose of the present invention is to provide a microblog sentiment analysis method and system, which can give consideration to both the accuracy and timeliness of classification, and can accurately reflect the sentiment trend of topics.

[0068] 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...

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Abstract

The invention discloses a micro-blog emotion analysis method and system. The micro-blog emotion analysis method and system provided by the invention adopt several micro-blog text data collected by a focused network crawler in a preset period of time as target topic data, and input each target topic data into a micro-blog emotion classifier to obtain the emotion types of each target topic data. Theinvention adopts a weakly supervised learning method based on expression words and emotion words to filter emotion micro-blog, A Chinese micro-blog corpus is constructed by selecting the same amountof positive micro-blog data and negative micro-blog data, and the micro-blog emotion classifier obtained by training FastText classifier with the corpus can give attention to the accuracy and timeliness of classification, and can accurately reflect the emotional trend of topic.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a microblog sentiment analysis method and system. Background technique [0002] Sentiment analysis of Weibo topics aims to explore people's views and attitudes on a topic or event on social networks. The popularity of smart phones has enabled more and more people to access the Internet and social networks from mobile terminals. As the largest social networking platform in China, Sina Weibo has more than 150 million daily active users, and an average of 200 million Weibo posts per day. The massive data of Weibo contains rich real-time information. People can push life dynamics and opinions to Weibo, and also comment on popular events. These subjective data bring great convenience to the research of sentiment analysis. The real-time and time-series emotional information mining of Weibo can accurately reflect the trend of Weibo topics and provide early warning...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/33G06F16/35
CPCG06F16/33G06F16/35G06F16/9535
Inventor 李博涵万朔王凯张安曼关东海秦小麟
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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