In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.

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 supervised learning based tool to identify toxic code review comments

sentiment-analysis using pertrained models (BERT, BiLSTM)

Chat Para detecção de comentários Toxicos

Atividade prática de Redes Neurais

HTTP API for classifying toxicity of a given text.

This project employs a deep neural network architecture for the classification of toxic comments, utilizing the Kaggle competition dataset from the Jigsaw Toxic Comment Classification Challenge.

AntiToxicBot is a bot that detects toxics in a chat using Data Science and Machine Learning technologies. The bot will warn admins about toxic users. Also, the admin can allow the bot to ban toxics.

This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.

Open source discord moderation bot leveraging NLP with a focus on explainability.

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

WINNER OF BLUESKY HACKATHON @ YC SF Toxicity conversation detector and stopper bot

A toxic comment detector developed based on fine-tuning BERT model.

Toxic Comment Classification - An NLP project using TensorFlow and LSTM for text classification.

The models are used to classify the toxic comments as toxic, severely toxic, insult, threat, obscene, & identity hate. By data collection & preprocessing to classify toxic comments with the help of lemmatization, lexicon normalization, & TF-IDF algorithm, we train & test the models using ML algorithms & evaluate using ROC curves & hamming score.

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

This project focuses on developing and evaluating deep machine learning models for detecting toxic comments.

Toxic Comments Classification

nlnomy is demo app of text content moderation. The origin of nlnomy comes from natural language and autonomy.