Convolutional Neural Networks for Toxicity Detection in Online Comments
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Updated
Feb 7, 2019 - Jupyter Notebook
Convolutional Neural Networks for Toxicity Detection in Online Comments
How to make multiple requests per second to Perspective API
Natural Language Processing: Toxic Comments Detection and Classification
A DL project that helps in classifying Toxic Comment weather it is positive or not.
Telegram bot that detects toxic comments based on Perspective API
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.
Fast text toxicity classification model
Profanity detection using fastText.
Comparing Toxic Texts with Transformers
TOXIC-BOY-OP/MUSIC-BOTOP
Identify and classify toxic online comments
A Machine Learning model to detect Toxic comment on Kaggel dataset.
Identify toxicity in 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.
Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch
Toxic Comment Classification Challenge | Kaggle
WordPress plugin that encourages authors of toxic comments to re-phrase them to be more kind instead.
CNN and LSTM multi-label text classification
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."