Evaluation of an Educational Training Platform Using Text Mining

Abstract

Educational data mining (EDM) is an important research area that implements and develops methods and statistical techniques for discovering new insights in order to improve the performance of the education system. Collecting and analyzing data makes it possible to do new discoveries and test cases about learners and teachers. Analyzing feedback using text mining and sentiment/opinion analysis techniques, the learners and teachers opinions are categorized into positive or negative. Feedback can be collected in a variety of ways. In this paper, a large number of feedback and comments from learners who attended e-learning, life-long courses were collected from questionnaires. We present an opinion mining system, which is used to analyze automatically and classify these free-text user comments according to their polarity.