Detekcija žaljivega govora
-
Updated
May 22, 2017 - Jupyter Notebook
Detekcija žaljivega govora
Disallow
Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting
This rule will validate that a field isn't offensive.
Identifying and Categorizing Offensive Language in Social Media (Twitter).
CNN-based Twitter offensive text classification model
Classifying hate speech with deep learning (honors thesis 2017-18)
Code for replicating the results of "HateMonitors" at HASOC 2019
Offensive Language Detection using BERT classifier
Supplementary material to the RANLP 2019 paper "Offence in Dialogues: A Corpus-Based Study"
The models developed by ASU_OPTO team as part of OffenseEval20 for Arabic tasks
🤬🤭 Laravel validation rule that checks if a string is offensive.
PHP library to look up information about words
A GitHub action that monitors PR/issue comments and warns senders who used offensive language.
NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.
Arabic hate speech data
🤬🤭 Is Offensive Helper Function - Check if a string contains offensive words or variations of them
MS Thesis: Polarization in fake news and offensive language in Social Media - Twitter, Facebook, Blogs.
Offensive Language Identification and Categorization
Add a description, image, and links to the offensive-language topic page so that developers can more easily learn about it.
To associate your repository with the offensive-language topic, visit your repo's landing page and select "manage topics."