Monitoring the Best product from Consumers opinion forums based on their Budget using Data Mining Technique

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-45 Number-2
Year of Publication : 2017
Authors : Jinesh Melvin Y I, Teena James, Suresh Babu
DOI :  10.14445/22315381/IJETT-V45P216

Citation 

Jinesh Melvin Y I, Teena James, Suresh Babu " Prototype development model for conveyor using linear induction motor ", International Journal of Engineering Trends and Technology (IJETT), V45(2),71-75 March 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In todays market scenario consumers reviews plays an important role in deciding whether a product should be purchased or not. In most of the product analyzing sales report, they check the customer’s reviews, rating, company, product models and so on. In the previous exsisting module they analysed the products from customers rating and reviews, but there was no proper solution for customers to buy products.In this paper we decide to monitor the best product from consumers reviews based on their budget. Here we collect all products online reviews from different websites also oral reviews from different customers. We introduce this module for customers goodness and there satisfaction, aiming both low budget buyers and high budget buyers. Our reviewing mechanism econometric analysis deals with data mining techniques. This module will give a clear idea about the product for different budgeters. Our results can have several implications for the market design of online opinion forums.

 References

[1]. Jawahire Nakash. `Real Time Product Analysis using Data Mining`, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Volume 4 Issue 3, March 2015.
[2]. Sushant Bhagwat . `Sales Analysis using Product Rating in data mining Techniques`, IJRET: International Journal of Research in Engineering and Technology , Volume: 04 Issue: 02 | Feb-2015 eISSN: 2319-1163 | pISSN: 2321-7308.
[3]. Seddin K,Serenko and Hayes J ,’Online shopping bots for E-commerce’, Int. J. Electronic Business, pp. 556-589, (2007)
[4]. Chevalier, J., and D. Mayzlin. 2006. The effect of word of mouth online: Online book reviews. Journal of Marketing Research, forthcoming.
[5]. Anindya Ghose . ` Designing Ranking Systems for Consumer Reviews: The Impact of Review Subjectivity on Product Sales and Review Quality `, Department of Information, Operations, and Management Sciences Stern School of Business New York University.
[6]. Clark, D. ‘Shopbots become agents for business change’, IEEE Computer, Vol. 33, Issue 2, 2000.
[7]. Serenko and Hayes J ‘Investigating the functionality and performance of online shopping bots for E-commerce’, Electronic Business 8(1): pp.1-15,(2009).

Keywords
Data Mining, Review Analytics, Internet Bot, Weka.