ANALYSIS STUDENTS' FEEDBACK BASED ON EMOTIONAL CLASSIFICATION METHODS

Abstract

In this study, we build a model to analyze the learners’ feedback through automatically classifying and labeling the feedback. The main work includes the following steps: Build a tool to get data from the feedback page, clean the data, build a data classification model based on the learner feedback set. Then conduct an analysis based on the Vietnamese emotion dictionary. The classification and prediction of labels is done based on the Support Vector Machine (SVM) method. The experiment gave positive results on the feedback set on some contents of Training activities, Lecturers/ Managers, Training Programs/ Textbooks, Facilities, training equipment and library.