Cargando…
Fake news detection in Urdu language using machine learning
With the rise of social media, the dissemination of forged content and news has been on the rise. Consequently, fake news detection has emerged as an important research problem. Several approaches have been presented to discriminate fake news from real news, however, such approaches lack robustness...
Autores principales: | Farooq, Muhammad Shoaib, Naseem, Ansar, Rustam, Furqan, Ashraf, Imran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280395/ https://www.ncbi.nlm.nih.gov/pubmed/37346628 http://dx.doi.org/10.7717/peerj-cs.1353 |
Ejemplares similares
-
Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus
por: Rafique, Adnan, et al.
Publicado: (2022) -
Recognition of Urdu sign language: a systematic review of the machine learning classification
por: Zahid, Hira, et al.
Publicado: (2022) -
Multi-label emotion classification of Urdu tweets
por: Ashraf, Noman, et al.
Publicado: (2022) -
Using of n-grams from morphological tags for fake news classification
por: Kapusta, Jozef, et al.
Publicado: (2021) -
Abusive language detection in youtube comments leveraging replies as conversational context
por: Ashraf, Noman, et al.
Publicado: (2021)