Review Analysis of Products and Recommendation System

Manu P S; Mohammed Ashique | Ms. Sajitha I; Maria Ann Toms

Title:
Review Analysis of Products and Recommendation System

Authors:
Maria Ann Toms | Manu P S | Mohammed Ashique | Ms. Sajitha I

Cite This Article :

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, pp.1164-1167, URL: https://www.ijtsrd.com/papers/ijtsrd30771.pdf

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Abstract :
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.

Keywords :
Machine Learning; Data Analysis; Collaborative Filtering; Euclidean Distance; Pearson Score

Publication Details:

Unique Identification Number : IJTSRD30771

Published In : Volume-4 | Issue-3, April 2020

Page Number(s) : 1164-1167

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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