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  Published Paper Details:

  Paper Title

OPINION MINING WITH INFORMATION EXTRACTION

  Authors

  Geetika Gaba,  Prerna Mahajan

  Keywords

Opinion,Sentiments, Extraction,Information

  Abstract


The aim of this paper is to discuss and analyze a new and innovative research challenge on opinion mining. This research challenge has been developed in opinion analysis of social community and their opinions on different topic. In this paper we are meant to develop a system that can identify and analyze opinion as represented in the electronic text. People are more eager to express and share their views on any topic regarding day-to-day activities and social issues as well in this paper a precise method for predicting people sentiments is used that enable us to extract opinion from the interviews, survey and internet that predict reviews of each and every person, which could prove valuable for social growth and research. So, current scenario needs to be analyzed with the help of interviews, blogs/forums and natural language processing. The results further validate and support the main issue of paper.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704420

  Paper ID - 171184

  Page Number(s) - 3144-3153

  Pubished in - Volume 5 | Issue 4 | December 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Geetika Gaba,  Prerna Mahajan,   "OPINION MINING WITH INFORMATION EXTRACTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.3144-3153, December 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704420.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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