NLP-based tool to block hate speech in the internet

INFX 573: Data Science Theoretical Foundations Course Project

Repository hosting dataset for the Shared Task on Aggression Identification during First Workshop on Trolling, Aggression and Cyberbullying (TRAC - 1) as COLING - 2018. Please visit the workshop website - https://sites.google.com/view/trac1/home - for more details

Baseline for the HatePic dataset

MANDOLApp is a hate-speech reporting mobile application that is aims to provide the ability of anonymous reporting of hate-speech and other material found in the web and social media with cross platform compatibility between Android, IOS and Windows mobile devices and statistical analysis considering hate-speech in order to raise the awareness o…

Supplementary materials for Bengali Word2Vec model

Understanding hateful subreddits through text clustering

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

Rephrasing offensive sentences to non-offensive using style transfer techniques

Detecting hate speech using the spoken content of videos using Machine Learning

Research project that detects hate speech in tweets using an attentive LSTM model.

Rage guy's twitter

Classifying hate speech with deep learning (honors thesis 2017-18)

Models to detect hateful comments served with flask trained on Kaggle's Toxic Comment Classification Challenge dataset.

Useful resources for hate speech detection in Spanish

Korean HateSpeech Dataset

Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis

Code for analyzing hate speech tweets using Wikipedia-based contextual representations.