FastText-based Offensive Language Detection in Tweets using OLID & SOLID datasets with LIME visualizations for interpretability.
The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.
Paper: A Cancel Culture Corpus through the lens of Natural Language Processing
Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.
Pytorch code for "Multilingual Offensive Language Identification"
This repository contains resources for aggression and offensive language detection, for our WOAH 2023 publication.
Offensive language exploratory analysis
WhatsApp Multiplexer - An automation tool for WhatsApp web
Our submission to OffensEval 2020 to classify offensive language in social media tweets, where we ranked #15.
Multidimensional Affective Analysis for Guarani/Jopara
Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.
Machine Learning project automating the detection of comments that violate YouTube's community guidelines.
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