Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
We all use multiple platforms of social media such as Facebook, WhatsApp, Instagram, Twitter, etc., for sharing information and media. Due to this sharing of media and information in large numbers there are usually many fake news or rumors which come along with it and we cannot tell the difference between the fake news and the real one. This project focuses on detecting the fake news from real and methods we have used to do so. In this project, we will implement few of machine learning techniques like Random Forest classifier, Logistic regression, Decision tree. These techniques will help in providing good and accurate result.
Keywords:
Cite Article:
"Fake News Detection using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.391 - 393, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212050.pdf
Downloads:
000205145
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