Repository for the code used in my Master's Thesis: Community-based Abuse Detection: Using Distantly Supervised Data and Biased Word Embeddings
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Updated
Jul 21, 2020 - Jupyter Notebook
Repository for the code used in my Master's Thesis: Community-based Abuse Detection: Using Distantly Supervised Data and Biased Word Embeddings
Repository for Studying Abuse Detection (Abusive Language Detection)
The code for SOP project done for the topic of Abuse detection in multilingual code-switched and code-mixed language using federated learning
Set rules to target bad posts on Discussions
An emoji abuse lexicon which provides abuse scores for 334 frequently used emojis.
Abuse detection in online conversations with text and graph embeddings
Enhance aims to resolve the subject of mental issues among individuals by offering a secure, anonymous environment. Any person can freely discuss his/her problem with other individuals suffering from the same issue with qualified counsellors who can provide solutions to their problems.
Python framework used at ESORICS, SNAMS and ASONAM to collect and annotate abusive content from Twitter
Synchronization between two Wikipedia-based Corpora
Social media abuse detection and classification: Tackling cyberbullying
A trust based social network for user engagement and protection.
Inspirathon 2.0
abuseiplookup: A command-line tool to check or get abuse reports for an IP address using the AbuseIPDB API
Guide to Successful Cases for Domestic Abuse Victims - Timelines, Types of Abuse, Evidence, Witnesses, Aid, & Technology --- Successful cases, witnesses, Maintaining Networks, chronologies, correlations, examples, discovery, data analysis --- Legal Intern at University
This work was done as part of Kaggle InClass competition hosted by Sharechat. We had to develop AI solutions for predicting abusive comments posted on the Moj app in 10+ languages given natural language data and user context data.
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.
serves a notice to the respective abuse/tech-c contacts of banned IPs via fail2ban's log file
Classifiers that can detect personal attack on a given document
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