International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 7, Issue 6, June 2018, ISSN: 2278 – 1323 544 All Rights Reserved © 2018 IJARCET Abstract- Online trading even in the retail sector is gaining more and more popularity with the widespread use of Internet. The main advantage of online shopping is the convenience of finding the right kind of products with the required quality of service, on-time delivery, shipping charges, in addition to the right price, at the click of the mouse. However, the problem with such online shopping is the bewildering array of options, which are available on the Internet. This causes customers to go by the rating of the online stores made by the users. These ratings may not be the true indicators of the online stores.This leads to erroneous selection of the online stores.In this paper, a novel method is proposed which works in two stages: In the first stage, it identifies and extracts the values of the overall rating and the presence of those features in the full review. The second stage focuses on establishing the co-relation between overall rating of the online store and opinion given by the customer in the full review. The paper also reveals that, there is no similarity between overall rating and full reviews posted by the customers. The authors are of the strong opinion that the customer’s decision of selecting the right online store has to be based on summary of the full review and overall rating of only those reviews which are correlated. Keywords: Online Shopping, Reviews, Rating values Extractor, Co-Relation. I. Introduction Online trading is one of such sector that is gaining more and more popularity with the widespread use of Internet. Online shopping offers many advantages in terms of choice, access to goods and services. A considerable number of studies have been conducted on the effects of comments on the web. People’s appraisal has high confidence to express their behaviors and aspects. Online shopping allows customers to openly buy things or services from a seller over the Internet using a web browser. Customers find a merchandise of interest by visiting website of the retailer directly or by searching amongstother vendors by means of a shopping search engine, which will display the same product's availability and price at different e-retailers. As of 2016, customers can shop online using a range of different computers and devices, including desktop computers, laptops, tablet computers and smartphones. An Internet presentation management company held a survey [1] on over 1400 customers across 11 countries in Middle-East, North America, Asia and Europe and the results of survey are given below:  Online retailers must increase the speed of website.  Online retailers should ease customers’ fear of security. These worries majorly distress the decisions of nearly two thirds of the customers. Fig 1: Year-wise Online shopping growth Thus, the appraisals on the web are significant information for customer making their decision. Through the concept of web, people could share their opinion on the web freely Many companies develop their business around this concept. Surfer can obtain lots of useful information on the web with these reviews added by user rapidly [2]. We get product information only from the manufacturer or our friends who experienced it in the past time, but through the experienced people share their comment, we could know a product more clearly and do better decision. Thus, it is very essential to know which online store is the best one where the customer can buy a product [3]. In order to make this decision the customer has to go through the opinions on the different online stores. There are two review formats by which the customer can give his review Format(1) – Overall Rating:The reviewer is asked to give his opinion in the form of rating, in the scale of 1-5 on some important features of the online stores. The example of overall rating is shown in the sample web page of Fig.2. Format (2) – Full review:The reviewer is asked to express his opinion in the form of sentences. The format of the full review is shown in the sample web page of Fig2. A Review Based Web Mining for Online Store Selection Sanjeev P. Kaulgud Department of Computer Science and Engineering, Presidency University, Bengaluru sanjeev.kaulgud@gmail.com