2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) |
Foundation of Computer Science USA |
NCIPET - Number 13 |
March 2012 |
Authors: Sumeet V. Vinchurkar, Smita M. Nirkhi |
869ab554-a79a-4131-a59f-68ad70714946 |
Sumeet V. Vinchurkar, Smita M. Nirkhi . Rough Set Theory Approach for Opinion Extraction of the Product from Text. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 13 (March 2012), 30-34.
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