Towards the Creation of a Tool for Identifying Personality in Virtual Learning Environments

Abstract

Nowadays, disorders and diseases associated with emotional states and personality are increasingly common. Studies indicate that the identification of the personality of an individual can help in the treatment of these disorders. This identification is often performed with the help of affective lexicons. The main objective of this work is to initiate a study to create a tool capable of identifying the personality of students in virtual learning environments with the help of an affective lexicon in Brazilian Portuguese. For this purpose, it is intended, initially, to perform the inference of personality from the texts of users of a Brazilian social network. The results achieved are considered relevant and promising.