Offensive Tweets Identification using Convolutional Neural Networks
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Updated
Dec 8, 2022 - Jupyter Notebook
Offensive Tweets Identification using Convolutional Neural Networks
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.
UINSUSKA participation in HASOC 2023 Task 1
Multi-Label Toxic Comment Detection
Repository for Studying Abuse Detection (Abusive Language Detection)
Abusive Language on YouTube: A dataset of YouTube comments in English annotated for abusive language
Github Action to prevent cursing and bad language in issues and pull requests
Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals
Hierarchical Multi Label Hate Speech and Abusive Language Classification
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
Dutch abusive language data
Detect abusive text in social media forums
Intersectional bias in hate speech and abusive language datasets
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