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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Fake News Classification Using Different Methods
Authors Name: Manik Tomar , Amogh Agarwal , Atul Kumar , Dr. Nidhi Sharma
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IJRTI_181809
Published Paper Id: IJRTI2205019
Published In: Volume 7 Issue 5, May-2022
DOI:
Abstract: In this paper, we explore the application of Natural Language Processing tech- niques to identify when a news source may be producing fake news. We use a corpus of labeled real and fake new articles to build a classifier that can make decisions about information based on the content from the corpus. We use a text classification approach, using four different classification models, and analyze the results. The best performing model was the LSTM implementation. The model focuses on identifying fake news sources, based on multiple articles originating from a source. Once a source is labeled as a producer of fake news, we can predict with high confidence that any future articles from that source will also be fake news. Focusing on sources widens our article misclassification tolerance, because we then have multiple data points coming from each source.
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Cite Article: "Fake News Classification Using Different Methods", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.123 - 126, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205019.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2205019
Registration ID:181809
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 123 - 126
Country: Delhi, Delhi, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2205019
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2205019
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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