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].
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
Telegram bot that detects toxic comments based on Perspective API
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.
Convolutional Neural Networks for Toxicity Detection in Online Comments
Repository of the paper "Supporting Online Toxicity Detection with Knowledge Graphs" (ICWSM 22).
A project to implement toxic comment classification based on the Jigsaw/Conversational AI challenge.
A Machine Learning model to detect Toxic comment on Kaggel dataset.
Profanity detection using fastText.
TOXIC-BOY-OP/MUSIC-BOTOP
Identify and classify toxic online comments
Build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.
How to make multiple requests per second to Perspective API
Add a description, image, and links to the toxic-comments topic page so that developers can more easily learn about it.
To associate your repository with the toxic-comments topic, visit your repo's landing page and select "manage topics."