There are 5 repositories under hate-speech-detection topic.
Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service
Improving Indonesian text classification using multilingual language model
👮♂️ A hate speech detection neural network which analyzes sentence sentiment to determine if the content is hateful, offensive, or acceptable.
A web-app to identify toxic comments in a youtube channel and delete them.
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
A rule based Hate Speech Detector for Hindi
Developing a classification model to detect hate tweets ready for deployment using various NLP techniques
Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.
This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.
A nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), and various rules.
Ml model to detect hate speech and offensive language
This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.
We are building solutions to stop harrashment and hate speech in online voice communication
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
Hierarchical Multi Label Hate Speech and Abusive Language Classification
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.
Resources for CSoNet-2021 paper: Detecting Hate Speech Contents Using Embedding Models
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.
Code for the shared task on homophobia/transphobia detection at LT-EDI Workshop @ ACL 2022
Vote! Don’t Retrain: Combating Hate in a Scalable Way. This work is an attempt at SemEval 2019 (Task 6) and 2020 (Task 12) Subtask A which aim to perform Binary Classification to identify Offensive Tweets
Turkish Hate Speech Detection
Paper: A Cancel Culture Corpus through the lens of Natural Language Processing
This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.
Comparação de algoritmos de aprendizado profundo na classificação de comentários contendo discurso de ódio na internet.
Code for the paper "Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic"
Code repository for the paper: How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After the Covid Pandemic Began
hate speech project (master)
An hate-speech-recognizer implemented using three different machine learning algorithms: Naive Bayes, SVM and Random Forest.
Hate Speech and Offensive Content Identification in Indo-European Languages