Microblog sentiment analysis algorithm research and implementation based on classification

被引：5
|
作者：
Yang, Yanxia [1 ]
Zhou, Fengli [1 ]
机构：
[1] City Coll Wuhan Univ Sci & Technol, Fac Informat Engn, Wuhan, Peoples R China
来源：
14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015) | 2015年
关键词：
Bayesian; SVM; words segmentation; sentiment analysis;
D O I：
10.1109/DCABES.2015.79
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Under the background of today's information age, microblog obtains a rapid development. With the news on the microblog updating, in order to avoid the users getting lost in the ocean of information, emotion analysis of the information becomes urgent and important. This paper based on the implementation of microblog emotion mining of Bayesian classifier and SVM classification algorithm, making comparison through the analysis of the experimental results in processing speed and accuracy, has a reference value.
引用
收藏
页码：288 / 291
页数：4
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