Building a Corpus of Phrases Related to Learning for Sentiment Analysis
María Lucía Barrón Estrada, Ramón Zataraín Cabada, Raúl Oramas Bustillos, Sandra Lucia Ramírez-Ávila · Research in Computing Science · 2017
Learning-centered emotions unlike basic emotions emerge during deep learning activities and they have an important relation to cognitive processes of students.In this paper we present the creation process of a corpus of phrases (opinions) related to learning computer programming.Opinions (textual phrases), are categorized in different emotions related to learning such as frustrated, bored, neutral, excited, and engaged.The main contribution of this work is the creation of the corpus of sentences related to learning in Spanish that can be used to analyze text dialogs in order to detect the student's emotions and improve the teaching process adapting the content to the cognitive needs and also, to the affective state of the student.We present the study and the results obtained about the corpus of textual opinions.