Automatic Hate Speech Detection: A Literature Review

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title Automatic Hate Speech Detection: A Literature Review
 
Creator Mohiyaddeen
Dr. Shifaulla Siddiqui
 
Subject Classification Algorithm
Machine Learning
Hate Speech
Deep Learning
Supervised Learning
 
Description Hate speech has been an ongoing problem on the Internet for many years. Besides, social media, especially Facebook, and Twitter have given it a global stage where those hate speeches can spread far more rapidly. Every social media platform needs to implement an effective hate speech detection system to remove offensive content in real-time. There are various approaches to identify hate speech, such as Rule-Based, Machine Learning based, deep learning based and Hybrid approach. Since this is a review paper, we explained the valuable works of various authors who have invested their valuable time in studying to identifying hate speech using various approaches.
 
Publisher Vandana Publications
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/766
10.31033/ijemr.11.2.17
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 2 (2021): April Issue; 116-121
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/766/844
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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