UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2206604


Registration ID:
404627

Page Number

g21-g25

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Title

A Supervised Learning Estimator For Detecting Fake News Articles Using Natural Language Processing

Abstract

With the Internet everywhere these days, everyone relies on a wide range of online news sources. It has become increasingly common for news to spread rapidly among millions of people in a very short amount of time as Facebook, Twitter, and other social media platforms have gained popularity. Initially, fake news spreads across social media platforms and later finds its way onto traditional TV and radio news. The results of this study are presented and discussed in this paper. In order to identify whether the news is false or true, Naive Bayes classifier and SciPy tools are used in conjunction with natural language processing and Naive Bayes algorithms to extract quotes from the news articles and calculate the likelihood percentage based on the extracted quotes.

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"A Supervised Learning Estimator For Detecting Fake News Articles Using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.g21-g25, June-2022, Available :http://www.jetir.org/papers/JETIR2206604.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

"A Supervised Learning Estimator For Detecting Fake News Articles Using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppg21-g25, June-2022, Available at : http://www.jetir.org/papers/JETIR2206604.pdf

Publication Details

Published Paper ID: JETIR2206604
Registration ID: 404627
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.30668
Page No: g21-g25
Country: Howrah, West Bengal, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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