DETECTING FAKE NEWS WITH PYTHON AND MACHINE LEARNING APPROACHES(BASED ON TEXT)

DETECTING FAKE NEWS WITH PYTHON AND MACHINE LEARNING APPROACHES(BASED ON TEXT)

Fake new is pervasive in social media and in other forms of media, and it is a serious concern since it has the potential to cause significant harm to society and the public. Previously, a lot of discussion was focused on finding it

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Bibliographische Detailangaben
Veröffentlicht in:NeuroQuantology 2022-01, Vol.20 (7), p.805
Hauptverfasser: Kaur, Amandeep, ANANTH AKASH, Divya, G, METHARI RAJESH, MANTHA AVINASH
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial intelligence
Data analysis
Engineering
False information
Language
Literacy
Machine learning
Natural language processing
Social networks
Software
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Beschreibung
Zusammenfassung:Fake new is pervasive in social media and in other forms of media, and it is a serious concern since it has the potential to cause significant harm to society and the public. Previously, a lot of discussion was focused on finding it
ISSN:1303-5150
DOI:10.14704/nq.2022.20.7.NQ33101