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CLASSIFYING FAKE NEWS USING NATURAL LANGUAGE PROCESSING

Harpreet Singh Anand Singh Anand

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Paper Contents

Abstract

The concept of Real and Fake news Classification and Detection is a domain which is still in the initial-development stage as compared to other projects of similar kind in this domain. ML or Machine Learning is a useful part of this project. The purpose of using these algorithms is to help the users to understand the various difficult and unyielding problems and to build Smart Artificial Intelligence and Machine Learning Systems to tackle problems for this concept. For the purpose of this research, we have used the concept of NLP along with two popular Machine Learning Algorithms for the purpose of the classification of real and fake news.

Copyright

Copyright © 2023 Harpreet Singh Anand. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS31000007945
ISSN: 2321-9653
Publisher: ijprems
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The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

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