Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching - Learning Process in the Classroom Using a Corpus of Subjectivity

Abstract

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.