Author(s): Anil Kumar K.M | Suresha
Journal: International Journal of Web & Semantic Technology
ISSN 0976-2280
Volume: 2;
Issue: 4;
Start page: 105;
Date: 2011;
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Keywords: Artificial Intelligence | Sentiment Analysis | Opinion Mining
ABSTRACT
In this paper we present a lexical approach that will identify opinion of web users popularly expressedusing short words or sms words. These words are pretty popular with diverse web users and are used forexpressing their opinion on the web. The study of opinion from web arises to know the diverse opinion ofweb users. The opinion expressed by web users may be on diverse topics such as politics, sports, products,movies etc. These opinions will be very useful to others such as, leaders of political parties, selectioncommittees of various sports, business analysts and other stake holders of products, directors andproducers of movies as well as to the other concerned web users. We use semantic based approach to findusers opinion from short words or sms words apart of regular opinionated phrases. Our approachefficiently detects opinion from opinionated texts using lexical analysis and is found to be better than theother approaches on different data sets.
Journal: International Journal of Web & Semantic Technology
ISSN 0976-2280
Volume: 2;
Issue: 4;
Start page: 105;
Date: 2011;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Artificial Intelligence | Sentiment Analysis | Opinion Mining
ABSTRACT
In this paper we present a lexical approach that will identify opinion of web users popularly expressedusing short words or sms words. These words are pretty popular with diverse web users and are used forexpressing their opinion on the web. The study of opinion from web arises to know the diverse opinion ofweb users. The opinion expressed by web users may be on diverse topics such as politics, sports, products,movies etc. These opinions will be very useful to others such as, leaders of political parties, selectioncommittees of various sports, business analysts and other stake holders of products, directors andproducers of movies as well as to the other concerned web users. We use semantic based approach to findusers opinion from short words or sms words apart of regular opinionated phrases. Our approachefficiently detects opinion from opinionated texts using lexical analysis and is found to be better than theother approaches on different data sets.
