A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models

A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models

Offensive content is a complex and multifaceted form of harmful material that targets individuals or groups. In recent years, offensive language (OL) has become increasingly harmful, as it incites violence and intolerance. The automatic identification of OL on social networks is essential to curtail...

Full description

Saved in:
Bibliographic Details
Main Authors: Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
offensive language
social network
support vector machine
random forest
VADER
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/2076-3417/14/23/11206
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items