Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech (ACL-IJCNLP 2021 Findings)

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

A Cyberbullying Detection App designed to identify instances of cyberbullying in English text. The app incorporates a diverse set of machine learning and deep learning algorithms, including BERT, Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), Multi-Layer Perceptron (MLP), and others.

This repository is dedicated to advancing the field of cyberbullying detection in the Bangla language through the development and thorough evaluation of machine learning and deep learning models. Cyberbullying poses a significant challenge in the digital landscape, and this project aims to provide effective tools for identifying.

CyberGuard: Machine Learning Vigilance Against Online Harassment

Submission for SASE 2022 Hackathon against Cyberbullying! Our solution was a database which stores anonymous bullying reports from students, which administration can act on.

2019) 헤이그 대학교 팀 프로젝트 / A game on cyberbullying preventation from international students of The Hague Univesrity Of Applied Sciences

Cyberbullying Detection App specifically designed for the Hinglish language, which is a combination of Hindi and English. The application utilizes various machine learning and deep learning algorithms fine-tuned for natural language processing and classification tasks.

Cyberaddiction, cyberbullying...: Zelbinium, so that smartphones no longer put our children in danger!