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Reseach Article

Opinion Mining for Multi-Mix Languages Hotel Review by using Fuzzy Sets

Published on February 2016 by Poonam K. Gajakosh, Tushar Ghorpade, Rajashri Shedge
International Conference on Advances in Science and Technology
Foundation of Computer Science USA
ICAST2015 - Number 2
February 2016
Authors: Poonam K. Gajakosh, Tushar Ghorpade, Rajashri Shedge
d34c357d-3214-4264-a9f2-ed85d6846037

Poonam K. Gajakosh, Tushar Ghorpade, Rajashri Shedge . Opinion Mining for Multi-Mix Languages Hotel Review by using Fuzzy Sets. International Conference on Advances in Science and Technology. ICAST2015, 2 (February 2016), 1-4.

@article{
author = { Poonam K. Gajakosh, Tushar Ghorpade, Rajashri Shedge },
title = { Opinion Mining for Multi-Mix Languages Hotel Review by using Fuzzy Sets },
journal = { International Conference on Advances in Science and Technology },
issue_date = { February 2016 },
volume = { ICAST2015 },
number = { 2 },
month = { February },
year = { 2016 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icast2015/number2/24222-3009/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Science and Technology
%A Poonam K. Gajakosh
%A Tushar Ghorpade
%A Rajashri Shedge
%T Opinion Mining for Multi-Mix Languages Hotel Review by using Fuzzy Sets
%J International Conference on Advances in Science and Technology
%@ 0975-8887
%V ICAST2015
%N 2
%P 1-4
%D 2016
%I International Journal of Computer Applications
Abstract

Social data analysis based on the conceptual and formal models are very useful for smooth running of web businesses. It is essential that cater to each and every consumer otherwise, attaining the desired goal can be difficult. Expression is a fast-evolving with emoji and Code-mixing in internet world. Doing sentimental analyses on user generated multi language service reviews with emotion and abbreviation tagging for identify the viewpoint is one of the challenging tasks. Purpose of this work is to extracting and summarizing the multiple mix-language user opinions. And it's important in every business and social domain to reshape businesses. This paper has introduced a propose method for classifying multi_mix language opinion. The approach is obtained by applying words extraction technique and fuzzy sets classification presented five categories strong positive, positive, strong negative, negative and neutral.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multiple Languages Fuzzy Set Classification Sentimental Analysis Emotion Tagging And Lexicon.