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}
}