Advanced Computational Intelligence: An International Journal (ACII)
ISSN : 2454 - 3934
https://airccse.org/journal/acii/index.html
A Literature Survey on Recommendation System Based on Sentimental Analysis
Achin Jain, Vanita Jain and Nidhi Kapoor
BharatiVidyapeeth College of Engineering, India
Abstract
Recommender systems have grown to be a critical research subject after the emergence of the first paper
on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems,
has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation
and classification of that research. Because of this, we reviewed articles on recommender structures, and
then classified those based on sentiment analysis. The articles are categorized into three techniques of
recommender system, i.e.; collaborative filtering (CF), content based and context based. We have tried to
find out the research papers related to sentimental analysis based recommender system. To classify
research done by authors in this field, we have shown different approaches of recommender system based
on sentimental analysis with the help of tables. Our studies give statistics, approximately trends in
recommender structures research, and gives practitioners and researchers with perception and destiny
route on the recommender system using sentimental analysis. We hope that this paper enables all and
sundry who is interested in recommender systems research with insight for destiny.
Keywords
Recommender systems; Literature review, Sentimental analysis
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pdf link --https://aircconline.com/acii/V3N1/3116acii03.pdf
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