Opinion Mining is a process of automatic extraction of knowledge by means of opinion of others about some particular product, topic or problem. The idea of Opinion mining and Sentiment Analysis tool is to process a set of search results for a given item based on the quality and features. Opinion Mining is a useful tool for gathering information about customers’ opinions about products, brands or companies. Opinion mining is a type of natural language processing which could track the mood of the people about any particular product by review. Opinion mining is also called sentiment analysis due to large volume of opinion which is rich in web resources available online. Analyzing customer review is most important, by doing that we tend to rate the product and provide opinions for it which is been a challenging problem today. Most of the people watch the user reviews before buying the product. So in that aspect, here analyze and categorize the all the user review i.e opinion, in three types(positive, negative, or neutral). All the positive, negative and neutral comments are categorized in percentage with the pie-chart representation, from the total comments received. This paper focus on the opinion mining applications, challenges, tools and techniques for a particular product, from the customer review.

opinion mining, statement analysis, text mining, web content mining

[1] Bakhtawar Seerat, Farouque Azam “Opinion Mining: Issues and Challenges (A Survery),” Itronational Journal of Computer Applications (0975-8887) Volume 49-No.9, July 2012
[2] Neeru Mago, “Opinion mining: Applications, Techniques, Tools, Challenges and Future Trends of Sentiment Analysis”, International Journal of Computer Engineering and Applications, Volume X, Issue IV, April 2016
[3] S. Kasthuri, Dr. L. Jayasimman, Dr. A. Nisha Jebaseeli, “An Opinion Mining and Sentiment Analysis Techniques: A Survey”, International Research Journal of Engineering and Technology(IRJET), Volume 03 Issue: 02, Feb 2016
[4] Dr. P. Perumal, M. Kasthuri, “A Survey on Opinion Mining from online Review Sentences” International Research Journal of Engineering and Technology.
[5] Nidhi Mishra, Dr. C.K. Jha, “Classification of Opinion Mining Techniques”, International Journal of Computer Applications, Volume 56, No.13, October 2012.
[6] Sumathi.T, Karthik.S, Marikannan.M “Performance Analysis of Classification Methods for Opinion”, International Journal of Innovations in Engineering and Technology (IJIET), Volume 2, Issue 4, August 2013.
[7] B. Liu “Sentiment Analysis and Opinion Mining”, April 22, 2012.
[8] Nidhi R. Sharma , Prof. Vidya D. Chitre “Opinion Mining, Analysis and its Challenges”, International Journal of Innovations & Advancement in Computer Science
[9] N.Mishra and C.K.Jha 2012, “An Insight into task of opinion mining”, Second International Joint Conference on Advances in Signal Processing and Information
[10] Erik Cambria, Bjorn Schuller, Yunqing Xia. New Avenues in Opinion Mining and Sentiment Analysis, Intelligent Systems, IEEE,Volume:28 ,Issue:2March-April 2013.
[11] Raisa Varghese, Jayasree. A Survey on Sentiment Analysis and Opinion Mining, International Journal of Research in Engineering and Technology (IJRET), Vol 2 Issue 11 Nov 2013..
[12] Nidhi Mishra et al. Classification of Opinion Mining Techniques, International Journal of Computer Applications, Vol 56, No 13,Oct 2012Pg No 1-6..
[13] G.Angulakshmi, Dr.R.ManickaChezian. An Analysis on Opinion Mining: Techniques and Tools , International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 7, July 2014.
[14] S. Yadav, K.Ahmad, J.Shekar. “Analysis of Web Mining Applications and Beneficial Areas” in proceedings of the IIUM Engineering Journal, Volume 12, no. 2, 2011
[15] U. Aggarwal, G. Aggarwal, “Sentiment Analysis: A Survey”, International Journal of Computer Science and Engineering, Volume-5, Issue-5, May 2017.
[16] Apoorva T, Pradeep N, “Aspect Based Sentiment Analysis with Text Compression”, Internatioanl Journal of Comuter Science and Engineering, Volume-5, Issue-8, Aug 2017