A basic and simple yet powerful Python library to detect toxicity/profanity of a review or list of reveiws.
Minor Project - Abusive Comment Recognition and Deletion in Live Chat
Intercept AI - Empowering safe and secure online experiences through cutting-edge content filtering technology.
Sistem klasifikasi teks berbahasa Indonesia untuk mendeteksi bahasa kasar menggunakan IndoBERT dan menyediakan layanan inferensi melalui REST API berbasis FastAPI.
Abusive Language on YouTube: A dataset of YouTube comments in English annotated for abusive language
Abusive Language Detection in Social Media with Deep Learning
World's largest Profanity Dataset with categorized offensive, abusive, hateful, sexual, and toxic terms across multiple languages. Built for content moderation, NLP research, AI safety, and text classification. Featuring 82k rows of profanity across 715 languages and 459 countries.
AI project to detect abusive comments in social media.
Abusive language detection for code-mixed Hinglish using mBERT, XLM-RoBERTa, and hybrid Transformer-BiLSTM models on 824K ShareChat comments.
UINSUSKA participation in HASOC 2023 Task 1
Abusive Language Detection Research w/ Dr. Sandra Kübler of the Indiana University Department of Linguistics. Recreated repo.
BadFilter.js to the rescue! We’ve crafted a supercharged, customizable solution that helps developers filter out inappropriate words like a pro. Let's make the internet a friendlier place one word at a time!
"Votely" is a dynamic and secure website designed to revolutionize the way users interact and engage with each other. With its sleek and intuitive user interface, Votely offers seamless login and signup functionality, empowering users to join the community effortlessly.
Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020
FA19, SP20, SU20. NLP work and research w/ Dr. Sandra Kübler of the Indiana University Department of Linguistics. Recreated repo.
Transformer-based abusive language detection in code-mixed Hinglish text — published at IEEE AICAPS 2026 — comparing mBERT, XLM-RoBERTa, and hybrid Transformer-BiLSTM architectures on 824K comments.
Project to implement an abusive language classifier using Recurrent Neural Networks
Repository for Studying Abuse Detection (Abusive Language Detection)
Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.
This project focuses on detecting abusive/offensive language using Natural Language Processing (NLP) techniques and Machine Learning models. The system is designed to classify whether a given word or text is offensive or not offensive.
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