UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1810A60


Registration ID:
312134

Page Number

58-62

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Title

OPINIONANALYSIS ON TWITTER DATA USING R- PROGRAMMING

Abstract

Opinion mining also termed as sentiment analysis basically utilized to implement an automated algorithm to analyze and classify opinion. If we are interested to get the idea, the extent to which the Indian citizen likes or dislikes money demonetization or for instance consider a product marketer who on his present company market image, would like to decide upon, launching of his new product. A film celebrity who would like to judge his or her present popularity so as to decide on the perfect time to launch his or her new movie, for any of such case an obvious solution would require analysis of opinion from a random sample of people. For such public opinion measurement, various survey tools and techniques are available. With the sudden increase in text based social media, lump of people simulcast their point of view and ideas on a large range of issues. We can study this data available from public to conclude population attitudes to understand the current trends of the market. This study presents a very easy, costand time effective approach that expose the opinions of much larger public which otherwise would have been not possible. The study presents an exhaustive study on the efficiency of R language in opinion mining and how opinion data can be extracted from twitter database. Extorting the opinion of people from social media text provides a rich and interesting context of database to analysis

Key Words

Concept-level sentiment analysis, Big data, Twitter, Social data analysis using R

Cite This Article

"OPINIONANALYSIS ON TWITTER DATA USING R- PROGRAMMING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.58-62, October-2018, Available :http://www.jetir.org/papers/JETIR1810A60.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"OPINIONANALYSIS ON TWITTER DATA USING R- PROGRAMMING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp58-62, October-2018, Available at : http://www.jetir.org/papers/JETIR1810A60.pdf

Publication Details

Published Paper ID: JETIR1810A60
Registration ID: 312134
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 58-62
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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