Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams

Yaakov HaCohen-Kerner, Natan Manor, Netanel Bashan, Elyasaf Dimant. Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams. In Parth Mehta 0001, Thomas Mandl 0001, Prasenjit Majumder, Mandar Mitra, editors, Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021. Volume 3159 of CEUR Workshop Proceedings, pages 1162-1167, CEUR-WS.org, 2021. [doi]

@inproceedings{HaCohen-KernerM21,
  title = {Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams},
  author = {Yaakov HaCohen-Kerner and Natan Manor and Netanel Bashan and Elyasaf Dimant},
  year = {2021},
  url = {http://ceur-ws.org/Vol-3159/T7-8.pdf},
  researchr = {https://researchr.org/publication/HaCohen-KernerM21},
  cites = {0},
  citedby = {0},
  pages = {1162-1167},
  booktitle = {Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021},
  editor = {Parth Mehta 0001 and Thomas Mandl 0001 and Prasenjit Majumder and Mandar Mitra},
  volume = {3159},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}