There are 11 repositories under cyberbullying-detection topic.
Detecting cyberbullying in tweets using Machine Learning
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
Repository hosting dataset for the Shared Task on Aggression Identification during First Workshop on Trolling, Aggression and Cyberbullying (TRAC - 1) as COLING - 2018. Please visit the workshop website - https://sites.google.com/view/trac1/home - for more details
InsightGuard is AI-powered, free to use and open source, cybersecurity API with a lot of functionalities. Python + Next.js
This app predicts the nature of the tweet into 6 Categories. i.e. Age, Ethnicity, Gender, Religion, Other Cyberbullying, Not Cyberbullying.
Discord Cyberbullying Bot
Cyber bullying detection in Twitter using machine learning
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.
A Model Training for Cyberbullying Detection by Using Youtube Comments
Natural Language Processor ecosystem for proactive and reactive cyberbullying response | Created during Hack4Lem 2021 hackathon
Identifying trolling, aggression, cyber-bullying and hate speech etc. Three classes: Overtly Aggressive (OAG), Covertly Aggressive (CAG), and Non-aggressive (NAG)
This application can detect the hate and toxic tweets of users amongst an entire corpora of tweets and thus can be an effective methodology towards reducing cyber bullying.
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.
Cyberbullying detection using BLSTM and GloVe
This repository is comprised of files that contributed, one way or another, to the creation of the project entitled, "Quickgarde: A Plug-in for Detecting Cyberbullying Occurrences in Filipino Social Media Posts
Research paper about Cyber Bulluying Detection on Twitter from Stanford University students
Code and data for the paper "Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models" (Arxiv 2023)
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.
http://poleval.pl/tasks/task6
CyberGuard: Machine Learning Vigilance Against Online Harassment
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.
In this paper, we have implemented SVM, Bayesian and CNN, LSTM Neural network models for cyber bullying detection using Azure ML studio and compared their results.
This project focuses on the analysis of cyberbullying tweets categorized by various cyberbullying types. Using traditional Machine Learning Models, it aims to predict cyberbullying types in new tweets and provides insightful visualizations through Streamlit.
Project for text analytics exam - UniPi