Abstract
YouTube is the most used social media platform, and it has been most popular website where users can post the videos. Opinion mining technique is used to know the sentiments expressed in YouTube comments. Focusing on diverse subjects, Naive Bayes is used to classify comments into positive, negative, and neutral sentiments. It uncovers trends in user opinions, identify preferences in teaching styles and content formats, and assess the perceived quality of educational videos. It also guides educators and content creators in optimizing educational content delivery and encourages more effective learning environment. Finally, the paper suggests reasonable approaches to achieve better results. Keywords: Sentiment Analysis, Machine Learning, Naive Bayes.
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