toxic-comments

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

A web-app to identify toxic comments in a youtube channel and delete them.

A WordPress plugin that uses AI to encourage authors of toxic comments to re-phrase them in a more kind way.

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

Telegram bot that detects toxic comments based on Perspective API

Fast text toxicity classification model

A DL project that helps in classifying Toxic Comment weather it is positive or not.

Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch

A Machine Learning model to detect Toxic comment on Kaggel dataset.

Convolutional Neural Networks for Toxicity Detection 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.

A project to implement toxic comment classification based on the Jigsaw/Conversational AI challenge.

Repository of the paper "Supporting Online Toxicity Detection with Knowledge Graphs" (ICWSM 22).

Profanity detection using fastText.

TOXIC-BOY-OP/MUSIC-BOTOP

Модель классификации токсичных комментариев с F1 0.7506 на основе CatBoost и TF-IDF. Использованы Python, Scikit-learn, NLTK, SMOTE.

🧪 Classifies toxic comments (EN + RU) using TF-IDF and logistic regression.