UNVEILING FAKE NEWS DETECTION MODELS AND THEIR INTEGRATION INTO WEB SYSTEMS: AN EXTENSIVE INVESTIGATION

The pervasive spread of fake news poses a critical threat to information integrity, demanding swift and innovative countermeasures. Addressing this challenge, Fake News Detection System, a user-friendly web application, utilizes advanced natural language processing and machine learning techniques fo...

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Bibliografische Detailangaben

Hauptverfasser:	Vimal Gaur, Naman Veerwal, Ujjwal Chaudhary, Sparsh Kadian
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	University of Kragujevac 2025-03-01
Schriftenreihe:	Proceedings on Engineering Sciences
Schlagworte:	fake news detection text preprocessing natural language processing random forest classifier flask framework
Online-Zugang:	https://pesjournal.net/journal/v7-n1/43.pdf
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