IMPLEMENTATION OF USER REVIEW BASED RECOMMENDATION SYSTEM.

Authors

  • Anjali Phaltane Assistant Professor, Department of Computer Engineering, G.H.RAISONI Engineering College, Chas, Ahmednagar, India
  • Ashish Dhase U.G. Student, Department of Computer Engineering, G.H.RAISONI Engineering College, Chas, Ahmednagar, India
  • Arati Nalla U.G. Student, Department of Computer Engineering, G.H.RAISONI Engineering College, Chas, Ahmednagar, India

Keywords:

Data Mining, Sentiment Analysis, Social User Behaviour

Abstract

E-commerce websites are being popular nowadays. Many people are using such websites to buy various
products which they are using in day to day life. After purchasing the product the authentic buyer has an option to give
review about particular product which he has purchased. Reviews may contain different polarities such as positive,
negative or neutral. By reading various reviews of different polarities the buyer who is willing to buy that particular
product may get confused. If customer came across negative reviews it might cause a negative impact of that product on
potential customer. So to avoid such confusions regarding the quality of that product we perform sentimental analysis on
reviews given by the similar users who have already purchased the product which potential customer is interested to buy.
We have developed a recommendation system which performs the sentimental analysis by collecting various data reviews
that is gathered from different website..

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Published

2018-05-25

How to Cite

Anjali Phaltane, Ashish Dhase, & Arati Nalla. (2018). IMPLEMENTATION OF USER REVIEW BASED RECOMMENDATION SYSTEM. International Journal of Advance Engineering and Research Development (IJAERD), 5(5), 90–95. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3399

Issue

Vol. 5 No. 5 (2018): Volume 5 Issue 5 May 2018

Section

Articles