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Sentimental Analysis to Rank Web Products

Author(s):

Mr. Abhijit Borade , Institute of Knowledge College of Engineering Pune; Mr. Imran Momin, Institute of Knowledge College of Engineering Pune; Mr. Dattatray Ghogare, Institute of Knowledge College of Engineering Pune; Prof. S. Pratap Singh, Institute of Knowledge College of Engineering Pune

Keywords:

Natural Language Processing, Review Mining, Sentiment Analysis, POS Tagging, Wordnet

Abstract

Nowadays, there is a trend of online shopping as more and more products are being sold by the manufacturers on the internet and customers are expressing their views and reviews about a product on the internet. Traditionally, individuals collect feedback from their friends or relatives before purchasing an item, but nowadays user generated reviews give the information which helps customers in buying their favorable products. So reviews of huge number of individuals around the globe can be analyzed. For that, various review mining techniques and sentiment analysis techniques are currently being used and products are being ranked using various ranking algorithms. We present a product ranking system using review mining techniques. Users can specify product information and get the ranking results of all matched products in return. We consider three issues while calculating product scores: Product reviews, Product popularity and Product release month. We are going to rank the products specified by user not all the products.

Other Details

Paper ID: IJSRDV3I2520
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 977-980

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