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Rough Set Theory Approach for Opinion Extraction of the Product from Text

Author(s): Sumeet V. Vinchurkar | Smita M. Nirkhi

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: ncipet;
Issue: 13;
Date: 2012;
Original page

Keywords: Fuzzy-rough sets | word sense disambiguation | semantic patterns retrieval | POS Tag | key feature extraction.

In this paper, the fuzzy rough set theory is useful to extract the key sentences and its feature attribute after getting the opinion from the post will be evaluated. Before this operation the pre-processing steps will be discussed for finding the entity and its attribute, on the basis of the output the rough set theory is used for avoiding the ambiguities between the word sense sentences. Fuzzy rough set theory is the main focused of this paper. It generates the result with the help of Fuzzy Rough Set approach and showing the way for reduction of feature
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