Classification of Micro-blog Sentiment Based on Naive Bayesian Classifier

Xiaoheng Ou (), Yan Cao () and Xiangwei Mu ()
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Xiaoheng Ou: Dalian Maritime University
Yan Cao: Dalian Maritime University
Xiangwei Mu: Dalian Maritime University

A chapter in LISS 2013, 2015, pp 585-589 from Springer

Abstract: Abstract 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.

Keywords: Micro-blog; Sentiment classification; Sentiment dictionary; Feature selection; Naive Bayesian (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_86

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DOI: 10.1007/978-3-642-40660-7_86

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