Sentiment Analysis of Students' Comment Using Lexicon Based Approach

被引:0
|
作者
Aung, Khin Zezawar [1 ]
Myo, Nyein Nyein [1 ]
机构
[1] Univ Comp Studies, Mandalay, Mandalay, Myanmar
来源
2017 16TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2017) | 2017年
关键词
opinion mining; sentiment analysis; teaching evaluation; students' comments; lexicon based;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In education system, students' feedback is important to measure the quality of teaching. Students' feedback can be analyzed using lexicon based approach to identify the students' positive or negative attitude. In most of the existing teaching evaluation system, the intensifier words and blind negation words are not considered. The level of opinion result isn't displayed: whether positive or negative opinion. To address this problem, we propose to analyze the students' text feedback automatically using lexicon based approach to predict the level of teaching performance. A database of English sentiment words is created as a lexical source to get the polarity of words. By analyzing the sentiment information including intensifier words extracting from students' feedback, we are able to determine opinion result of teachers, describing the level of positive or negative opinions. This system shows the opinion result of teachers that is represented as to whether strongly positive, moderately positive, weakly positive, strongly negative, moderately negative, weakly negative or neutral.
引用
收藏
页码:149 / 154
页数:6
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