Sentiment Analysis in an Affective Intelligent Tutoring System
María Lucía Barrón Estrada, Ramón Zataraín Cabada, Raúl Oramas Bustillos, Francisco González-Hernández · 2017
This paper presents an implementation of Sentiment Analysis module that works in an Affective Intelligent Tutoring System. Later, we show the results of evaluating this module and some experiments we made with students. We consider that the main contribution of this work is that with this module, the system will be able to analyze the student's feedback using sentiment analysis techniques and provide useful information to the course administrators teachers for improving the teaching material.