📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 2, FEBRUARY 2018

Recommendation of Product using Sentiment Analysis of Product Reviews

Vikas S. Keskar, Manisha V. Pansare, Priyanka B. Katkade, Suchita B. Jadhav

DOI: 10.17148/IJARCCE.2018.7221

Abstract: Online shopping is trend amongst youngster. To purchase a product from online shopping site and give the reviews about products, is common in current era. But while purchasing product, sometimes it become difficult to choose between two products. So, to overcome this problem, there is need of such a system which will help user to decide which product he/she should buy. In this paper, we proposed such system which helps user to decide between two products. This approach is based on sentiment analysis and takes into consideration 1. Users reviews about product and 2. Price of product.



Keywords: Sentiment analysis, product reviews, product recommendation, product feature, natural language processing, sentiwordnet

How to Cite:

[1] Vikas S. Keskar, Manisha V. Pansare, Priyanka B. Katkade, Suchita B. Jadhav, “Recommendation of Product using Sentiment Analysis of Product Reviews,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7221