Human Language Technologies Project for the Academic Year 2023-2024
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Updated
Aug 21, 2024 - Jupyter Notebook
Human Language Technologies Project for the Academic Year 2023-2024
Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.
Cyber Bullying Detection ML Model (CBD.ML)
Sentinel adalah proyek kelompok kami yang bertujuan untuk mendeteksi dan mengklasifikasikan komentar di media sosial, khususnya untuk mengidentifikasi apakah sebuah komentar termasuk kategori bullying atau non-bullying.
CyberGuard: Machine Learning Vigilance Against Online Harassment
Project for text analytics exam - UniPi
classify text data into different cyberbullying categories.
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.
TITAN: Text-based InTerpreter for Anti-cyberbullying using Neural networks
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.
Natural Language Processor ecosystem for proactive and reactive cyberbullying response | Created during Hack4Lem 2021 hackathon
Cyberbullying detection using BLSTM and GloVe
Code and data for the paper "Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models" (Arxiv 2023)
Research paper about Cyber Bulluying Detection on Twitter from Stanford University students
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
Identifying trolling, aggression, cyber-bullying and hate speech etc. Three classes: Overtly Aggressive (OAG), Covertly Aggressive (CAG), and Non-aggressive (NAG)
Cyber bullying detection in Twitter using machine learning
Add a description, image, and links to the cyberbullying-detection topic page so that developers can more easily learn about it.
To associate your repository with the cyberbullying-detection topic, visit your repo's landing page and select "manage topics."