Toxic Comment Classification Challenge | Kaggle
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Updated
Mar 21, 2018 - Jupyter Notebook
Toxic Comment Classification Challenge | Kaggle
CNN and LSTM multi-label text classification
Convolutional Neural Networks for Toxicity Detection in Online Comments
Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch
A Machine Learning model to detect Toxic comment on Kaggel dataset.
A project to implement toxic comment classification based on the Jigsaw/Conversational AI challenge.
Identify toxicity in online comments
Natural Language Processing: Toxic Comments Detection and Classification
Telegram bot that detects toxic comments based on Perspective API
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.
A DL project that helps in classifying Toxic Comment weather it is positive or not.
WordPress plugin that encourages authors of toxic comments to re-phrase them to be more kind instead.
TOXIC-BOY-OP/MUSIC-BOTOP
Comparing Toxic Texts with Transformers
How to make multiple requests per second to Perspective API
A web-app to identify toxic comments in a youtube channel and delete them.
Identify and classify toxic online comments
Fast text toxicity classification model
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."