Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
-
Updated
Jun 12, 2023 - Jupyter Notebook
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
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 [email protected].
Deep Learning models to detect hate speech in tweets
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Python code to detect hate speech and classify twitter texts using NLP techniques and Machine Learning
Cyber Hate detection And tracking on Social mEdia
A browser extension to block likers, retweeters, list members and Twitter ads and share your block lists with others. - say NO to hate speech!
NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.
This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.
Repository for the CLiPS HAte speech DEtection System [HADES].
A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content
Repository for the paper "Thou shalt not hate: Countering Online Hate Speech" accepted at ICWSM 2019.
Hate speech detection from code-mixed Hindi-English tweets using deep learning models. This project reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. The models result in an improvement of about 12% in F-score over a past work that used statistical classifiers.
Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
Python Version of Andrew Welter's Hatebase Wrapper
Author Profiling for Abuse Detection (COLING 2018)
Testing and training detection models for emoji-based hate speech.
Classifying hate speech with deep learning (honors thesis 2017-18)
This repository contains the resources used for presentation/discussion in weekly iRE Lab meetings.
Add a description, image, and links to the hatespeech topic page so that developers can more easily learn about it.
To associate your repository with the hatespeech topic, visit your repo's landing page and select "manage topics."