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 [email protected].
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Updated
May 16, 2024 - Python
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 [email protected].
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.
The world's largest social media toxicity dataset.
Developing a classification model to detect hate tweets ready for deployment using various NLP techniques
Improving Indonesian text classification using multilingual language model
Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
Useful resources for hate speech detection in Spanish
Multimodal Misogyny Detection - SemEval 2022 - MAMI Challenge
A web-app to identify toxic comments in a youtube channel and delete them.
A rule based Hate Speech Detector for Hindi
We are building solutions to stop harrashment and hate speech in online voice communication
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, developed in Flask.
Hate Speech and Offensive Content Identification in Indo-European Languages
Resources for CSoNet-2021 paper: Detecting Hate Speech Contents Using Embedding Models
In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
The official code repository for the paper titled "A Federated Approach for Hate Speech Detection" (EACL 2023)
An hate-speech-recognizer implemented using three different machine learning algorithms: Naive Bayes, SVM and Random Forest.
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