Emotion space model for classifying opinions in stock message board

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Emotion space model for classifying opinions in stock message board

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作者：Banghui Luo^a ; ^{bluo13@fudan.edn.cn" class="auth_mail" title="E-mail the corresponding author} ; Jianping Zeng^b ; ^{zjp@fudan.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Jiangjiao Duan^c ; ^{jjduan@usst.edu.cn" class="auth_mail" title="E-mail the corresponding author}
关键词：Opinion classification ; Emotion ; Stock message
刊名：Expert Systems with Applications
出版年：2016
出版时间：February 2016
年：2016
卷：44
期：Complete
页码：138-146
全文大小：741 K

文摘

•: We focus on the investors' opinion in stock message board.
•: Extending six basic emotion words increases classifying accuracy.
•: Opinion classifying based on ESM is effective and fast.
•: We compare ESM with traditional SVM information gain and mutual information.

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