Hate speech Detection in Asian Languages:A Survey
Authors:
- 16 June 2021
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 1-5
Abstract
In this study, we present a language-based survey of hate speech detection in Asian languages. The motivation of this survey is to encourage the development of an automated hate speech detection system for Malayalam. Any message from social media spreading negativity in the society related to sex, caste, religion, politics, race etc. can be called a hateful message. This kind of text is very challenging to detect. Here we have taken only language-specific studies for hate speech detection and analyzed the approaches used in each work. We have used three parameters in this paper to analyze the overall scenario of this problem among Asian languages. This study tries to identify the best classification algorithm for this task and also find the relation between classification approach, type and size of dataset and accuracy. So this survey will become the foundation of future studies in this area and will help to understand the challenges also.Keywords
This publication has 23 references indexed in Scilit:
- Automatic Detection of Offensive Language for Urdu and Roman UrduIEEE Access, 2020
- Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context2020
- Hateful Speech Detection in Public Facebook Pages for the Bengali Language2019
- Sinhala Hate Speech Detection in Social Media using Text Mining and Machine learning2019
- Hate Speech Detection in Hindi-English Code-Mixed Social Media Text2019
- Hate Speech Detection on Indonesian Instagram Comments using FastText Approach2018
- Ensemble Method for Indonesian Twitter Hate Speech DetectionIndonesian Journal of Electrical Engineering and Computer Science, 2018
- Detecting Offensive Tweets in Hindi-English Code-Switched Language2018
- A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection2018
- Hate speech detection in the Indonesian language: A dataset and preliminary study2017