Evaluating Educational Commentaries: Sentiment Analysis for Student Testimonials Using Machine Learning

This is because in education, evaluation of student data especially in form of feedback cannot be complete without sentiment analysis. The various methods adopted in analysis of sentiments in educational context are discussed in this paper though the use of deep learning and machine learning approaches. Prominent findings show how effectively the mentioned strategies may be implemented to enhance instructional practices and shape institutional decisions. An example of concepts described is such problems as biased datasets or conflict of cultural contexts. The study reveals how self-service feedback tools such as sentiment analysis tools can revolutionize feedback receipt as well as instruction, paving way for individualized learning environment and enhanced performance outcomes.