A comparative analysis of logistic regression and decision tree for fake news detection

A comparative analysis of logistic regression and decision tree for fake news detection

Registration ID: IJNRD_199502

Published ID: IJNRD2307084

DOI: Click Here to Get

Sonal Vinayak Kasare , Yash Arun Mali

survey, identification, dataset, actual news, fake news kinds.

One may easily claim that in modern society, news and information are valued more highly than actual currency. This news must be reported in its original, unadulterated form, which is rarely the case. causing us to urgently need to distinguish between legitimate news and any potential fake news. Since news is a type of information, the sources and justifications for its veracity may vary. With the aid of one's intrinsic ability to infer logic and the ludicrous source of the information piece, one may readily distinguish actual news from fake news as a human. Just a few reliable sources are required to check for facts and misconceptions. But some software that can stop such "fake news" in its tracks in real time is desperately needed. causing it to rank among the areas that receive the most investigation today. To find a real-time solution for such a problem, researchers from all over the world are focusing a lot of attention on this field, which is primarily a component of information retrieval. We verified and analyzed numerous research publications as well as numerous survey articles for this post. This article discusses the difficulties one has when conducting research in this particular area as well as some potential future implications.

Published Paper   E-Certificate

"A comparative analysis of logistic regression and decision tree for fake news detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.a681-a695, July-2023, Available :https://ijnrd.org/papers/IJNRD2307084.pdf

Volume 8 Issue 7, July-2023

Pages : a681-a695

Paper Reg. ID: IJNRD_199502

Published Paper Id: IJNRD2307084

Downloads: 000121194

Research Area: Information Technology 

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307084.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307084

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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