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


Anthology ID:DBLP:conf/fire/HaCohen-KernerM21
Volume:Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021.
Year:2021
Venue:Forum for Information Retrieval Evaluation (FIRE)
Publisher:CEUR-WS.org
Pages:1162-1167
URL:https://ceur-ws.org/Vol-3159/T7-8.pdf
DBLP:conf/fire/HaCohen-KernerM21
BibTeX:
@inproceedings{hacohenkerner-2021-detecting, author = {Yaakov HaCohen-Kerner and Natan Manor and Netanel Bashan and Elyasaf Dimant}, editor = {Parth Mehta and Thomas Mandl and Prasenjit Majumder and Mandar Mitra}, title = {{Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams}}, booktitle = {{Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021}}, series = {CEUR Workshop Proceedings}, volume = {3159}, pages = {1162--1167}, publisher = {CEUR-WS.org}, year = {2021}, url = {https://ceur-ws.org/Vol-3159/T7-8.pdf} }