Abstract
Recommender systems are widely used these days for recommendation of courses. The recommender systems have gained acceptance among users because of their better results. This paper proposes a novel model on optimizing recommender system using sentiment score as a booster method. TOPSYS method is best suited for multi-criteria decision making (MCDM) problems. Sentiment Analysis has been added to existing recommender systems in the form of sentiment score for improving the recommendations. The sentiment analysis will add novelty and will eventually improve recommender system.
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