TY - JOUR AU - Gutiérrez Esparza, Guadalupe AU - Padilla Díaz, Alejandro AU - Canul-Reich, Juana AU - De-Luna, Carlos Alejandro AU - Ponce, Julio PY - 2016/05/14 Y2 - 2024/03/29 TI - Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching - Learning Process in the Classroom Using a Corpus of Subjectivity JF - International Journal of Combinatorial Optimization Problems and Informatics JA - Int. Journal of COP and Infor. VL - 7 IS - 2 SE - Articles DO - UR - https://ijcopi.org/ojs/article/view/37 SP - 22-34 AB - <p>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.</p> ER -