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Identification of Abusive Sinhala Comments in Social Media using Text Mining and Machine Learning Techniques Cover

Identification of Abusive Sinhala Comments in Social Media using Text Mining and Machine Learning Techniques

International Journal on Advances in ICT for Emerging Regions (ICTer)
Volume 13 (2020): Issue 1
By: ,   and    
Open Access
|Jan 2020
Authors

Authors

H. M. S. T. Sandaruwan

stsandaruwan001@gmail.com

University of Ruhuna

S. A. S. Lorensuhewa

aruna@dcs.ruh.ac.lk

University of Ruhuna

M. A. L. Kalyani

kalyani@dcs.ruh.ac.lk

University of Ruhuna
DOI: https://doi.org/10.4038/icter.v13i1.7213 | Journal eISSN: 2550-2794
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Language: English
Page range: 13 - 25
Published on: Jan 29, 2020
Published by: University of Colombo School of Computing
In partnership with: Paradigm Publishing Services
Keywords:
Sinhala abusive comment detection,
Machine Learning,
Text mining,
Natural language processing

© 2020 H. M. S. T. Sandaruwan, S. A. S. Lorensuhewa, M. A. L. Kalyani, published by University of Colombo School of Computing
This work is licensed under the Creative Commons License.

Volume 13 (2020): Issue 1
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