Detecting Offensive Language in English Hindi and Marathi using Classical Supervised Machine Learning Methods and Word/Char N-grams.

@inproceedings{hacohenkerner-2021-detecting, author = {Yaakov HaCohen-Kerner and Moshe Uzan}, editor = {Parth Mehta and Thomas Mandl and Prasenjit Majumder and Mandar Mitra}, title = {{Detecting Offensive Language in English Hindi and Marathi 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 = {501--507}, publisher = {CEUR-WS.org}, year = {2021}, url = {https://ceur-ws.org/Vol-3159/T1-49.pdf} }