Github Action to prevent cursing and bad language in issues and pull requests
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Updated
Feb 12, 2024 - JavaScript
Github Action to prevent cursing and bad language in issues and pull requests
Intersectional bias in hate speech and abusive language datasets
Dutch abusive language data
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
Hierarchical Multi Label Hate Speech and Abusive Language Classification
Abusive Language on YouTube: A dataset of YouTube comments in English annotated for abusive language
Detect abusive text in social media forums
Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals
UINSUSKA participation in HASOC 2023 Task 1
World's largest Profanity Dataset with categorized offensive, abusive, hateful, sexual, and toxic terms across multiple languages. Built for content moderation, NLP research, AI safety, and text classification. Featuring 82k rows of profanity across 715 languages and 459 countries.
Repository for Studying Abuse Detection (Abusive Language Detection)
Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.
Data Cleanser is an API made using Flasgger. It aimed to cleanse data (specifically X or Twitter data), such as removing punctuations and removing whitespace. After being cleansed, the data will be visualized through pie chart, bar chart, and wordcloud to help user gain insights.
Offensive Tweets Identification using Convolutional Neural Networks
Multi-Label Toxic Comment Detection
To associate your repository with the abusive-language topic, visit your repo's landing page and select "manage topics."