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:
JETIR1810939


Registration ID:
190913

Page Number

243-248

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Title

TOPIC MODELLING: AN ANALYSIS OF SOCIAL ISSUE THROUGH TWITTER

Authors

Abstract

The prime focus is on “topic modeling” by extracting the tweets from Twitter about Sterlite Project. The extracted tweets are processed using LDA (Latent Dirichlet Allocation) and Gibbs Method. Using these methods we analyze locus standi on Sterlite Project from various dimensions. The centroid of the issue is the central government stand on extraction of copper by hydraulic without considering other environmental issues that hampers the livelihood of the inhabitants. Which in turn favors the corporate profit and by destroying nature. There was public outcry from various groups in Social Media (Twitter) against the Sterlite Project. The topic modeling clearly explores all opinions and options from various dimensions about Sterlite Project. In our study there were few topics that are been discussed in a large scale such as ‘BanSterlite’,’’SaveTuticorin’,’support’,’tamilnadu’ and ‘Sterlite protest’ by which we can say that the sterlite project is a threat to the agriculture and destroys the sentiment of the people associated with farming. It is also observed that the emotions are changing with the respect to time and reactive policy changes from the government. A time series analysis with the topic modeling is carried out and studied for the better understanding of the sentiments.

Key Words

LDA, Gibbs Method, Sterlite Project, Topic Modeling, Social Media

Cite This Article

"TOPIC MODELLING: AN ANALYSIS OF SOCIAL ISSUE THROUGH TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.243-248, October-2018, Available :http://www.jetir.org/papers/JETIR1810939.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

"TOPIC MODELLING: AN ANALYSIS OF SOCIAL ISSUE THROUGH TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp243-248, October-2018, Available at : http://www.jetir.org/papers/JETIR1810939.pdf

Publication Details

Published Paper ID: JETIR1810939
Registration ID: 190913
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 243-248
Country: Pudukkottai, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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