A Hybrid Approach to Measure Students’ Satisfaction on YouTube Educational Videos

Abstract

Every aspect of life has undergone innovation in recent years. Information Technology has revolutionized the concept of teaching and learning. Both educators and students are now utilizing contemporary resources for learning and teaching. One of the primary sources of contemporary educational resources is educational videos posted on various channels on YouTube. This study intends to investigate the opinions voiced in YouTube comments for educational videos with the help of Sentiment Analysis. In this research, three techniques namely SentiStrength, TextBlob, and Naive Bayes Classifier were utilized to analyze the sentiments. According to the results, the majority of the remarks made about the videos have positive sentiments that concluded that students are satisfied with YouTube educational videos and consider YouTube as a beneficial learning tool.