There are 2 repositories under toxic-comments 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.
A web-app to identify toxic comments in a youtube channel and delete them.
WordPress plugin that encourages authors of toxic comments to re-phrase them to be more kind instead.
Natural Language Processing: Toxic Comments Detection and Classification
Toxic Comment Classification Challenge | Kaggle
CNN and LSTM multi-label text classification
Identify toxicity in online comments
Fast text toxicity classification model
Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch
A DL project that helps in classifying Toxic Comment weather it is positive or not.
A project to implement toxic comment classification based on the Jigsaw/Conversational AI challenge.
Identify and classify toxic online comments
Profanity detection using fastText.
Build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.
Convolutional Neural Networks for Toxicity Detection in Online Comments
A Machine Learning model to detect Toxic comment on Kaggel dataset.
Repository of the paper "Supporting Online Toxicity Detection with Knowledge Graphs" (ICWSM 22).
TOXIC-BOY-OP/MUSIC-BOTOP
How to make multiple requests per second to Perspective API
Comparing Toxic Texts with Transformers