There are 8 repositories under hate-speech-detection topic.
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.
WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.
Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service
Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
A web-app to identify toxic comments in a youtube channel and delete them.
Improving Indonesian text classification using multilingual language model
(NeurIPS 2022) Official Implementation of Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.
A Nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), sentiment, topic, and various rules.
Repository for the paper "RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?"
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
Developing a classification model to detect hate tweets ready for deployment using various NLP techniques
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
A rule based Hate Speech Detector for Hindi
This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.
This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects
This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.
Developing a classifier to detect instances of racism and xenophobia in English sentences
Detect hate speech in social media comments using deep learning.
We are building solutions to stop harrashment and hate speech in online voice communication
Ml model to detect hate speech and offensive language
This repository contains the dataset and implementation details of the paper "An In-depth Analysis of Implicit and Subtle Hate Speech Messages" accepted at EACL 2023.
A Multimodal Deep-Learning-based Project aimed to classify whether the given meme is hateful or not
The official code repository for the paper titled "A Federated Approach for Hate Speech Detection" (EACL 2023)
Useful resources for hate speech detection in Spanish
Repository for the paper "ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model" (ACL'2024 - Findings)
Hierarchical Multi Label Hate Speech and Abusive Language Classification
Code for 3 papers: 1) "Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets"; 2) "LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest neighbor Classification for Sarcasm Detection"; 3) "Fuzzy Rough Nearest Neighbour Methods for Detecting Emotions, Hate Speech and Irony" by O. Kaminska, Ch. Cornelis and V. Hoste.
Comparação de algoritmos de aprendizado profundo na classificação de comentários contendo discurso de ódio na internet.
Code for the shared task on homophobia/transphobia detection at LT-EDI Workshop @ ACL 2022
Chinese Political Hate Speech Detection Trained with Flair NLP
Resources for CSoNet-2021 paper: Detecting Hate Speech Contents Using Embedding Models
Zero-Shot Hate Speech classification using prompting. Published at the WOAH workshop (ACL 2023).
This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.
DweshaMukt leverages BERT and deep learning to detect hate speech in Hinglish, Hindi, and English across text, audio, video, images, GIFs, and YouTube comments. With real-time analysis, emoticon detection, and a Streamlit interface, it aims to foster safer online spaces through advanced NLP techniques.