Classification of Micro-blog Sentiment Based on Naive Bayesian Classifier

被引：1
|
作者：
Ou, Xiaoheng [1 ]
Cao, Yan [1 ]
Mu, Xiangwei [1 ]
机构：
[1] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China
来源：
LISS 2013 | 2015年
关键词：
Micro-blog; Sentiment classification; Sentiment dictionary; Feature selection; Naive Bayesian;
D O I：
10.1007/978-3-642-40660-7_86
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper is to conduct popular micro-blog for sentiment classification. The Naive Bayesian Classifier is the key in this paper, and study on pretreatment of the text of micro-blog, constructing sentiment dictionary, feature selection, feature weights and expression vector, comes up with some points and conducts the experiment. And the performance of "emoticons + twice sentiment feature extraction + BOOL" is the best pretreatment method. And this experiment gains a relatively satisfactory result.
引用
收藏
页码：585 / 589
页数：5
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