Unsupervised Opinion Mining From Text Reviews Using SentiWordNet

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-11 Number-5
Year of Publication : 2014
Authors : Vibha Soni , Meenakshi R Patel
DOI :  10.14445/22312803/IJCTT-V11P150


Vibha Soni , Meenakshi R Patel."Unsupervised Opinion Mining From Text Reviews Using SentiWordNet". International Journal of Computer Trends and Technology (IJCTT) V11(5):234-238, May 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Opinion mining is a discipline or area of text classification which continues gives contribution in research field. Sentiment analysis is one another name of Opinion mining. Opinion Mining analyse and classify the user generated data like reviews, blogs, comments, articles etc. Nowadays every people use web services and gives their opinions about every field, domain or peoples. The main objective of Opinion mining is Sentiment Classification i.e. to classify the opinion into positive or negative classes. There are basically two approaches first machine learning Or Supervised learning techniques and other unsupervised learning techniques. In this paper an unsupervised lexicon technique is used for Sentiment Classification.

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Opinion Mining, Sentiment Classification, Sentiment Analysis, SentiWordNet, Lexicon, Sentiment Polarity.