Abuse-detection-using-Federated-Learning

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

A curated list of research papers and resources on code-switching

Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021

CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.

KAREN: Unifying Hatespeech Detection and Benchmarking

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

Unsupervised Sentiment Analysis for Code-mixed Data

enable CSF Firewall native fail2ban like support

Classifiers that can detect personal attack on a given document

This repository contains the system description and the codes that we implemented for participating in EACL-2021 shared tasks.