A Brazilian Portuguese Text Offensiveness Analysis System
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Updated
Mar 11, 2024
A Brazilian Portuguese Text Offensiveness Analysis System
Code for analyzing hate speech tweets using Wikipedia-based contextual representations.
Final project for the course LT2318 Artificial Intelligence: Cognitive Systems. The project concerns multimodal hate speech detection in memes.
Rephrasing offensive sentences to non-offensive using style transfer techniques
Bachelor's thesis on removing hate from online comments using paraphrasing: algorithm DPhate
Data and code for paper: Context-Aware Offensive Language Detection in Human-Chatbot Conversations
Identify hate speech in Malay-language tweets.
COVID-19 Anti-Asian Racism Hate Speech Detection using Transfer Learning
ToChiquinho is a toxicity detection system based on OLID-BR.
Detecting hate speeches using ML by creating a pipeline model to get the highest accuracy.
HausaHate is a benchmark dataset for Hausa hate speech detection task. it was extracted from West African Facebook pages and comprises 2,000 comments annotated according to a binary class (offensive and non-offensive) and hate speech targets (race, gender and none).
Research project that detects hate speech in tweets using an attentive LSTM model.
SSA is a post-hoc explanation method by stereotypes and counter-stereotypes to assess social bias in hate speech classifiers
A statistical framework to study prejudice discourse aiming at individual or group discrimination.
Achieving Hate Speech Detection in a Low Resource Setting
Counter speech classification using adversarial training
KERM-HATE push forward the research on how syntactic information can be used to de-bias hate speech recognizers and so to contribute to solve problems of prejudice.
Supplementary materials for Bengali Word2Vec model
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