HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.
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Updated
Oct 15, 2024
HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.
This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.
Official repository of HODI, the shared task on Homotransphobia Detection in Italian at Evalita 2023
Towards a Programmable Humanizing AI through Scalable Stance-Directed Architecture
UINSUSKA participation in HASOC 2023 Task 1
A Python-based data tool for Integrating Hate Speech datasets with varying schemas.
A multilingual lexicon of words to hurt.
CyberGuard: Machine Learning Vigilance Against Online Harassment
This repository contains the code and data of the paper titled "XLNet-CNN: Combining Global Context Understanding of XLNet with Local Context Capture through Convolution for Improved Multi-Label Text Classification", which has been accepted at NSysS 2024.
Hate content moderation bot on Discord
Hate Speech Detection Comparative Study: GPT-3.5 vs. Fine-tuned BERT Model
AIceberg - AI learning assistence
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