Classifiers that can detect personal attack on a given document
-
Updated
Apr 10, 2017 - Python
Classifiers that can detect personal attack on a given document
Synchronization between two Wikipedia-based Corpora
Building a dataset of Twitter replies for unsupervised learning / bot-blocking
A curses-style interface for automatic takedown notification based on MISP events.
Python framework used at ESORICS, SNAMS and ASONAM to collect and annotate abusive content from Twitter
Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
API which returns cusswords , can be used to check cusswords in bots etc.
Author Profiling for Abuse Detection (COLING 2018)
This script is designed to streamline the process of scanning a list of IP addresses from AbuseIPDB and extracting valuable information. It then organizes this data into a CSV file. This tool is incredibly useful for threat hunting and improving incident response times in cybersecurity
Social media abuse detection and classification: Tackling cyberbullying
The Collector.py (lite) is a RedTeam Black-Python script designed to help in finding BAD sites. This script is part of a larger collection and was created to be used with caution. Some functions have been removed to prevent any malicious attacks, but it remains a simple yet powerful script that can be used to scan for bad sites.
Abuse detection in online conversations with text and graph embeddings
🎁 Blocks browser-based crypto mining, cryptojacking, banking and crypto malware and phishing websites, apps and hackers command-and-control (C2) servers.
Add a description, image, and links to the abuse-detection topic page so that developers can more easily learn about it.
To associate your repository with the abuse-detection topic, visit your repo's landing page and select "manage topics."