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
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Updated
Oct 1, 2017
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
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
A Model Training for Cyberbullying Detection by Using Youtube Comments
Repository for the experiments described in "Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity" submitted as pre-print to arXiv.
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.
Natural Language Processor ecosystem for proactive and reactive cyberbullying response | Created during Hack4Lem 2021 hackathon
Discord Cyberbullying Bot
Cyberbullying detection using BLSTM and GloVe
Detecting cyberbullying in tweets using Machine Learning
Research paper about Cyber Bulluying Detection on Twitter from Stanford University students
Identifying trolling, aggression, cyber-bullying and hate speech etc. Three classes: Overtly Aggressive (OAG), Covertly Aggressive (CAG), and Non-aggressive (NAG)
This app predicts the nature of the tweet into 6 Categories. i.e. Age, Ethnicity, Gender, Religion, Other Cyberbullying, Not Cyberbullying.
TITAN: Text-based InTerpreter for Anti-cyberbullying using Neural networks
Project for text analytics exam - UniPi
Cyber bullying detection in Twitter using machine learning
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
Code and data for the paper "Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models" (Arxiv 2023)
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