UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1902361


Registration ID:
197437

Page Number

339-353

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Title

Sentiment Analysis of content of Indian States’ News Headlines

Abstract

Abstract This study attempts to analyze sentiments hidden behind the headlines of Indian states’ news in online English dailies. It is discovered that news headlines published by the different news media houses unambiguously reflect or at least indicate their agenda and perception. We have employed the sentiment analysis as a tool to decode the magnitude of sentiments expressed through the medium of news headlines, which are further segregated in the sub-heads of positive, negative and neutral sentiments. To this end, the headlines of three newspapers having the highest circulation and readership among public were subjected to a quantitative content analysis which reveals that a predominant neutral bent of mindset resonates in their coverage, giving a way to the readers to form their respective opinion. This study finds this quality in line with general understanding of press being the responsible body of society and also the fourth pillar of democracy. This study examines the effective agenda setting role of the Indian online newspapers, keeping in background the emotions of their readers. In a bid to develop empirical result, while scrutinizing the news headlines, it focuses on the classification of emotions and valence in terms of positive and negative polarity. This is primarily to explore and establish the connection between emotions and attitude. In order to identify and substantiate the study, a total of 8,640 headlines spanning over a decade from 2006 to 2016 were evaluated. Considering the huge quantum of data, it was realized that automatic system must be resorted to put them in orderly fashion. Lastly, we elaborate on the different approaches for the machine treatment of subjective communication (opinion mining) and present our findings while bringing out their implications.

Key Words

sentiment analysis, online newspaper, Indian states news

Cite This Article

"Sentiment Analysis of content of Indian States’ News Headlines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.339-353, February-2019, Available :http://www.jetir.org/papers/JETIR1902361.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

"Sentiment Analysis of content of Indian States’ News Headlines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp339-353, February-2019, Available at : http://www.jetir.org/papers/JETIR1902361.pdf

Publication Details

Published Paper ID: JETIR1902361
Registration ID: 197437
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 339-353
Country: Hisar, Haryana, India .
Area: Arts
ISSN Number: 2349-5162
Publisher: IJ Publication


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