Cyber Bullying Detection Application (CBDA)
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Updated
Jul 4, 2023 - Python
Cyber Bullying Detection Application (CBDA)
Algoritmo para análise da ocorrência de cyberbullying contra professores na rede social Twitter
Repository for the experiments described in "Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity" submitted as pre-print to arXiv.
Cyberbullying Detection App tailored for the Arabic language. The app is designed to identify instances of cyberbullying in Arabic text using various machine learning and deep learning algorithms.
Natural Language Processor ecosystem for proactive and reactive cyberbullying response | Created during Hack4Lem 2021 hackathon
To free us from the digital giants!
This project has ML models developed to classify a tweets offensiveness based on 3 tasks. It contains a Flask web application that utilises the models created and can be used to test original tweets. There is a paper on Springer Link called "Detection of Cyberbullying on Social Media using Machine Learning"
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