Automated Detection of Hate Speech and Profanity for Multiple and Mixed Languages
Author(s):
Vishwanath V Karki, Kalikidhar Reddy, K S Nitish, B Deepthi
Keywords:
Natural Language Processing, Deep Learning, Code-Mixed, Multilingual, Hinglish, Text Classification
Abstract
Detecting profanity, abuse or hate by building efficient Text Content Moderation systems has become an integral process and a practice for various digital and online media platforms. Chat platforms and community discussion forums are essential customer services that are being provided by many online media business platforms which allow the users which to express their opinions. Many users tend to misuse this service to spread profane and abusive content online. The aim of this research is to design techniques and create independent models that are able to identify and detect instances of hate, abuse or profane content in English, Hindi and Hinglish. Further discrimination of the inappropriate instances into various classes, namely: (i) HATE (hate speech), (ii) OFFENSIVE (insulting, degrading) and (iii) PROFANE (swear words, cursing) has been performed. This work which aims to solve a prominent problem in the field of Natural Language Processing leverages the Machine Learning and Deep Learning Models to perform the Classification of text.
Article Details
Unique Paper ID: 153363

Publication Volume & Issue: Volume 8, Issue 6

Page(s): 547 - 551
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies