ISSN: 2349-5162

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

Unique Identifier

JETIRCO06035

Page Number

177-180

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Title

LITERATURE REVIEW ON SENTIMENT ANALYSIS OF TWITTER DATA

ISSN

2349-5162

Cite This Article

"LITERATURE REVIEW ON SENTIMENT ANALYSIS OF TWITTER DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.177-180, June-2019, Available :http://www.jetir.org/papers/JETIRCO06035.pdf

Abstract

Sentiment analysis is an evolving field of study which involves the process of evaluating and distinguishing the opinions or emotions expressed in a given text. Twitter promotes unregulated communication by providing an easily accessible medium where millions of people tweet everyday to contribute their thoughts and viewpoints to the world. This paper presents a review on the techniques of Sentiment Analysis on the Twitter Data. With this paper, we present a brief review of all the work done on twitter sentiment analysis so far and elaborate the models and their methodologies used. We have surveyed all the papers published in this field and focused on the recent approach so as to facilitate the development of promising avenues of future projects and research.

Key Words

sentiment analysis, twitter data

Cite This Article

"LITERATURE REVIEW ON SENTIMENT ANALYSIS OF TWITTER DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp177-180, June-2019, Available at : http://www.jetir.org/papers/JETIRCO06035.pdf

Publication Details

Published Paper ID: JETIRCO06035
Registration ID: 216236
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 177-180
ISSN Number: 2349-5162

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Cite This Article

"LITERATURE REVIEW ON SENTIMENT ANALYSIS OF TWITTER DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp177-180, June-2019, Available at : http://www.jetir.org/papers/JETIRCO06035.pdf




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