Proceeding of

NCAICN National Conference 2013



Advances in

Computing & Networking


A Special Issue of

International Journal of Computer Science and Applications



Hon. Shri Sundeepji Meghe

(Chairman, Vidarbha Youth Welfare Society, Amravati)



Dr. V.T. Ingole (FIE, FIETE, Professor Emeritus)


Organizing Committee


Dr. D.T. Ingole (FIE, FIETE)

(Principal PRMIT & R, Badnera and  Chairman IEI  Amravati Center).


 Er. A.W. Jawanjal

(Honorary Secretary IEI, Amravati Center)


Dr. G.R. Bamnote ((FIE, FIETE)

(H.O.D. Computer Science & Engineering)

Dr. A.S. Alvi (MIE)

(H.O.D. Information Technology))

Prof. Mrs. M.D. Ingole (FIE.MIETE)

(H.O.D. Electronics & Telecommunication)


Prof. S.V. Dhopte ((FIE, FIETE)

Prof. Ms. V.M. Deshmukh (FIE, FIETE)

Dr. S.W. Mohod  (FIE,FIETE)


Dr. S.R. Gupta (MIE, MIETE)

Prof. S.V. Pattalwar ((FIE, FIETE)

Prof. M.D. Damahe


Prof. Mrs. M.S. Joshi                

Dr. S.M. Deshmukh

Prof. V.U. Kale

Prof. S.S. Kulkarni

Prof. Ms. R.R. Tuteja

Prof. Ms. J.N. Ingole

Prof. V.R. Raut

Prof. C.N. Deshmukh

Prof. Ms. M.S. Deshmukh

Prof. S.P. Akarte

Prof. Mrs. A.P. Deshmukh

Prof. Mrs. S.S. Sikchi

Prof. N.N. Khalsa

Department of Information and Computer Science and Engineering

Prof. Ram Meghe Institute of Technology and Research, Badnera Distt. Amravati



Prof. K. H. Walse





IJCSA ISSN: 0974-1011 (Online) >>    

A Survey on Product Evaluation using Opinion Mining

Vrushali Y. Karkare and Dr. Sunil R. Gupta


The Internet technology is growing very fast and it is becoming reliable, so more and more people using internet in their day to day life. Because of increase in social networking and blogs, more and more people are connected with each other and share information globally. Through this people are sharing their opinions, experiences or feedback regarding any product. These experiences or feedback is very important information for the organizations that are selling or manufacturing the products, which can be used for changing designs, personalization and better understanding of product. Also these opinions regarding any product are important information for other people who want to buy the same product. But it is difficult for a potential customer to read hundreds of reviews. So data mining approaches are used to mine the opinions, to summarize all reviews of customer. Most of the existing methods in opinion mining are processing the customer reviews in the form of positive and negative  comments. But this approach is not enough for a customer to make decision about product. The proposed approach gives  the method of rating the product and also the product features with weights, which is a more customized way of putting the reviews. The approach also compares the products of different brands based on their ratings. This approach will help  customers to take decisions based on their preferences regarding any product or product feature

2013 International Journal of Computer Science and Applications 

Published by Research Publications, India