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  • 标题:Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity
  • 本地全文:下载
  • 作者:Guadalupe Gutiérrez Esparza ; Alejandro Padilla Díaz ; Juana Canul - Reich
  • 期刊名称:International Journal of Combinatorial Optimization Problems and Informatics
  • 印刷版ISSN:2007-1558
  • 电子版ISSN:2007-1558
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:22-34
  • 语种:English
  • 出版社:International Journal of Combinatorial Optimization Problems and Informatics
  • 其他摘要:In this paper,we propose a sentiment analysis model for the assessment of teacher performance in the classroom by tweets written by a pilot group of college students. Naive Bayes (NB) is the technique to be applied to classify tweets based on the polar express emotion (positive, negative and neutral), to carry out this process, a dataset fits adding distinctive terms of context as possible features to support the classification process.
  • 其他关键词:Sentiment Analysis; Naive Bayes; Corpus of Subjectivity; Twitter.
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