Hate Speech sentiment detection
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Updated
Dec 7, 2025 - Jupyter Notebook
Hate Speech sentiment detection
HausaHate is a benchmark dataset for Hausa hate speech detection task. it was extracted from West African Facebook pages and comprises 2,000 comments annotated according to a binary class (offensive and non-offensive) and hate speech targets (race, gender and none).
Machine Learning project that detects Hate Speech, Offensive Language, and Neutral text from tweets using NLP and TF-IDF. Built with Python, Scikit-learn, and NLTK.
Active Learning framework using BERT to efficiently detect hate speech and offensive language with minimal labeled data.
Exploratory Data Analysis with data cleaning, visualization, and insights for better understanding of datasets.
Detect hate speech in tweets using NLP and Machine Learning. This project automates classification into hate speech, offensive language, and neutral content. 🐙💻
한국어 욕설, 비속어, 혐오 표현(offensive language) 관련 데이터셋, 라이브러리, API를 모아놓은 리소스 저장소
This is a repository for AfriHate Project
Offend your friends and family! Generate scathing insults based on an edited dataset of insults scraped from various places around the web.
API para Detecção de comentários Ofensivos
Detecting offensive language in tweets using classical machine learning models with SMOTE balancing.
A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.
DravidaKavacham is an open-source tool for detecting abusive content in Dravidian (Tamil and Malayalam), focused on harmful language targeting women. Developed as part of the DravidianLangTech@NAACL 2025 shared task, it uses NLP and machine learning for accurate text classification and content analysis.
This repo present different classifiers on German Speech Act dataset. For BERT models, we implement such fine-tuning strategies as baseline, hyperparameter search and few-shot classification using Fasfit. For Gemini 1.5 Flash, Llama-3.2-3B and Llama3-German-8B, we perform parameter efficient fine-tuning.
A speech act analysis of offensive language in German Tweets - an annotated datatset.
Data and code for paper: Context-Aware Offensive Language Detection in Human-Chatbot Conversations
A fast, robust Python library to check for offensive language in strings.
A Brazilian Portuguese Text Offensiveness Analysis System
NLP project to detect hate speech and offensive language in tweets
A GitHub action that monitors PR/issue comments and warns senders who used offensive language.
Add a description, image, and links to the offensive-language topic page so that developers can more easily learn about it.
To associate your repository with the offensive-language topic, visit your repo's landing page and select "manage topics."