Detekcija žaljivega govora
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Updated
May 22, 2017 - Jupyter Notebook
Detekcija žaljivega govora
HASOC-Dravidian-CodeMix-FIRE 2021
EACL 2021 paper (SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification)
Supplementary material to the RANLP 2019 paper "Offence in Dialogues: A Corpus-Based Study"
A Brazilian Portuguese Text Offensiveness Analysis System
UNIX login greeters which we deserve
Identifying and Categorizing Offensive Language in Social Media (Twitter).
Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.
SemEval 2019 - Shared Task 6: Offensive speech detection in tweets with several machine learning approaches with different features and several types of BERT
a novel Romanian language dataset for offensive message detection with manually annotated comment from a local Romanian news website (stiri de cluj) into five classes
API para Decteção de comentários Ofensivos
RO-Offense: A Novel Romanian Dataset for Offensive Language in Online Comments
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).
The models developed by ASU_OPTO team as part of OffenseEval20 for Arabic tasks
MAD: A Multi-task Aggression Detection Framework
🔍 Ensuring community harmony and shielding against ads and harassment with DFA-based offensive language detection. 🌐💬
Using weak supervision to perform named entity recognition and offensive language detection on r/sg comments
This is an Machine learning model used to identify spam words in Malayalam. The dataset is basically of tweets from different accounts.
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