offensive-language-detection

Simplifying Persian NLP for Modern Applications

The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.

Paper: A Cancel Culture Corpus through the lens of Natural Language Processing

Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.

Pytorch code for "Multilingual Offensive Language Identification"

This repository contains resources for aggression and offensive language detection, for our WOAH 2023 publication.

A framework for adapting Pretrained Language Models (XLM-R, BERT etc.) for Low-Resourced Offensive Language Detection in Sinhala using pretrained models and intermediate tasks.

Offensive language exploratory analysis

Multidimensional Affective Analysis for Guarani/Jopara

WhatsApp Multiplexer - An automation tool for WhatsApp web

Our submission to OffensEval 2020 to classify offensive language in social media tweets, where we ranked #15.

Offensive language detection using NLP and machine learning techniques

Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.

Transformer-based offensive language detection using DistilBERT embeddings, sentiment analysis, CI/CD testing, and an interactive Streamlit web application.