Pytorch code for "Multilingual Offensive Language Identification"
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Updated
Jan 12, 2021 - Python
Pytorch code for "Multilingual Offensive Language Identification"
Multidimensional Affective Analysis for Guarani/Jopara
Offensive language exploratory analysis
Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.
Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.
Paper: A Cancel Culture Corpus through the lens of Natural Language Processing
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.
WhatsApp Multiplexer - An automation tool for WhatsApp web
This repository contains resources for aggression and offensive language detection, for our WOAH 2023 publication.
Our submission to OffensEval 2020 to classify offensive language in social media tweets, where we ranked #15.
Machine Learning project automating the detection of comments that violate YouTube's community guidelines.
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