• D. Saraswathi
• F. Jeno Sandana Brina Rouvier
• B. Venba

Feedback mining is a tool for analysing the learning environment. In educational institutions, the most standard procedure is used to collect feedback from students in examining their feelings toward the subject instructor in terms of improving the teacher's performance. Generally, this method of evaluation through such feedbacks begins at the end of the semester with the use of survey forms. Students provide input on a variety of topics based on their actions in the classroom, lab, and elsewhere. The lexicon-based approach and the machine learning algorithms are the two types of techniques used in sentiment analysis. A variety of classification techniques, namely decision trees, Naive Bayes, SVM, and neural networks, are used to categorize the feedback.

Sentimental Analysis, Lexicon-based, Feature Selection, SVM, Naïve Bayes, Hybrid Technique.

"A Survey On Sentimental Analysis Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.e348-e354, August-2021, Available :http://www.jetir.org/papers/JETIR2108528.pdf

"A Survey On Sentimental Analysis Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppe348-e354, August-2021, Available at : http://www.jetir.org/papers/JETIR2108528.pdf