Emotion Recognition for Education using Sentiment Analysis

María Lucia Barron-Estrada, Ramón Zatarain-Cabada, Raúl Oramas-Bustillos
2019 Research in Computing Science  
Most systems that recognize emotions that are used in learning systems are oriented towards the detection of basic emotions such as happy, sad or angry. However, an intelligent tutor system must be able to detect, in a student, secondary emotions that have to do with learning as boring or frustrated. In the case of sentiment analysis in text, most of the research focuses on recognizing polarities (positive and negative). In this paper we present a sentiment analyzer for the recognition of
more » ... ties and emotions centered on learning using textual phrases written in Spanish in the field of computer science that can be used in an ITS (or any learning environment) to detect sentiments and/or emotions of the students. We also present the results obtained from the sentiment analyzer, which are very promising with 88.26% of accuracy.
doi:10.13053/rcs-148-5-8 fatcat:vojof3uzazckxelxdmp4imtviq