标题:Text sentiment classification based on the automatic expansion of sentiment dictionary
作者:Pang, Haijie ;Zhao, Hua ;Gong, Chenjing
作者机构:[Pang, Haijie ;Gong, Chenjing ] College of Information Engineering, Qingdao Binhai University, Qingdao, Shandong; 266555, China;[Zhao, Hua ] College o 更多
会议名称:5th International Conference on Communication and Information Processing, ICCIP 2019
会议日期:15 November 2019 through 17 November 2019
来源:ACM International Conference Proceeding Series
出版年:2019
页码:28-31
DOI:10.1145/3369985.3370038
关键词:HowNet; Reverse back stepping; Sentiment classification; Sentiment dictionary
摘要:The sentiment dictionary-based text sentiment classification method is one of the main methods in the field of sentiment analysis, and the completeness of the sentiment dictionary is one of the key factors of the method. With the constant appearance of the new terms on Internet, the static sentiment dictionary cannot cover all the sentiment words. In this paper the automatic expansion methods of sentiment dictionary is explored, and a method of automatic recognition and orientation of sentiment words based on reverse back stepping is proposed, and the recognized sentiment words are used to expand the static sentiment dictionary. By applying the expanded sentiment dictionary to sentiment classification, we found that the expanded dictionary can greatly improve the recall rate of the sentiment classification without reducing the accuracy rate, so as to enhance the overall sentiment classification performance. © 2019 Association for Computing Machinery.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078348640&doi=10.1145%2f3369985.3370038&partnerID=40&md5=971d385df5e7f90d57cb58e17bc89c01
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