Date of Publication :7th April 2017
Abstract: Over the last few years, opinions are voiced in the form of blogs, tweets, social media and review over the web. These opinions do matter, as, we always consider other persons view in our decision making process. Proposed fuzzy technique finds out how positively or negatively the masses have responded to the launched product, based on voiced opinions. Using a supervised rule based technique, fuzzy values are assigned to opinions, to know the measure of its positivity or negativity. Steps involve, first mining the opinion about the product from ecommerce sites. Then extraction of the opinion phrases as per pre-defined phrase patterns. Next, assigning of fuzzy weights to the opinion words using SentiWordNet and measuring the strength of opinion phrases. And, finally summarization of people’s views to yield product recommendation. Proposed fuzzy technique is an enhancement over the existing opinion mining techniques which does binary polarity determination.
Reference :
-
- Maqbool Al-Maimani,Naomie Salim Ahmed M.AlNaamany,” Semantics and Fuzzy Aspects of Opinion Mining” Journal of Theoretical and Applied Information Technology ,20th May 2014. Vol. 63 No.218
- Bing Liu. Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, May 2012.
- Amit Pimpalkar, “A System for Sentimental Analysis of Movie Reviews Involving Rule-Based and Fuzzy Measure”, International Journal of Artificial Intelligence and Knowledge Discovery (IJAIKD), ISSN 2231-0312,Vol.3, No.2, 2013.
- Subasic, P. and Huettner, A. (2001). „Affect analysis of text using fuzzy semantic typing‟. IEEE-FS, (9):483–496.
- Samaneh N., Masrah A. Murad, Rabiah Abdul Kadir (2010), „Sentiment Classification of Customer Reviews Based on Fuzzy Logic‟, Information Technology (ITSim), 2010 International Symposium, pp.1037-1040.
- Mita K. Dalal1 andMukesh A. Zaveri2” Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges”Applied Computational Intelligence and So Computing Volume 2014, Published 20 February 2014
- Animesh Kar, Deba Prasad Mandal, “Finding Opinion Strength Using Fuzzy Logic on Web Reviews”,International Journal of Engineering and Industries,volume 2, Number 1, pp 37-43, March, 2011.
- Ohana, B. & Tierney, B. (2009) Sentiment classification of reviews using SentiWordNet. 9th. IT&T Conference, Dublin Institute of Technology, Dublin, Ireland, 22-23 October.
- V. N. Huynh, T. B. Ho, and Y. Nakamori, “A parametric representation of linguistic hedges in Zadeh‟s fuzzy logic,” International Journal of Approximate Reasoning, vol. 30, no. 3,pp. 203–223, 2002.
- Liu, Bing. Sentiment Analysis and Subjectivity, in Handbook of Natural Language Processing, Second Edition, N. Indurkhya and F.J. Damerau, Editors. 2010.