标题:A teaching evaluation method based on sentiment classification
作者:Zhao, Hua ;Ji, Xiaowen ;Zeng, Qingtian ;Jiang, Shan
作者机构:[Zhao, Hua ;Ji, Xiaowen ;Jiang, Shan ] College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandon 更多
通讯作者:Zhao, Hua
来源:International Journal of Computing Science and Mathematics
出版年:2016
卷:7
期:1
页码:54-62
DOI:10.1504/IJCSM.2016.076032
摘要:Teaching evaluation is an important part of the teaching process, and is an effective measure to improve teaching method. In order to automatically analyse the massive teaching evaluation texts on internet, this paper proposes to apply the sentiment classification technology to the sentiment analysis of teaching evaluation texts, and introduces a teaching evaluation analysis method based on the sentiment dictionary. In order to deal with the problem of the frequent appearance of new words in these texts, propose a method to recognize the new words automatically, and then use these recognised words to expand the sentiment dictionary. Experimental results show that the sentiment classification based on the expanded sentiment dictionary increases the recall rate of the system successfully, which brings the improvement of the overall performance of the teaching evaluation analysis system.
Copyright © 2016 Inderscience Enterprises Ltd.
收录类别:EI
资源类型:期刊论文
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