In this paper, we first classify the text reviews given by different users on different products. There will be a wide variety of reviews about different products in the market. Using the machine learning techniques, we can analyze this data and use the different classifiers on them to get the behavior of the reviews. Later we are performing a collaborative approach to find out the possible list of products a user tend to buy and also the potential customers who are more likely to buy a particular product.. For more expertise knowledge about the product and for its clear understanding, the most discussed features and the specifications of the product is also highlighted.
by Maria Ann Toms | Manu P S | Mohammed Ashique | Ms. Sajitha I ""Review Analysis of Products and Recommendation System""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30771.pdf
Paper Url :https://www.ijtsrd.com/computer-science/other/30771/review-analysis-of-products-and-recommendation-system/maria-ann-toms
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