serves a notice to the respective abuse/tech-c contacts of banned IPs via fail2ban's log file
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Updated
Jun 11, 2012 - Shell
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
A trust based social network for user engagement and protection.
To classify toxic and abusive comments from huge bunch of text.
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 simple and lightweight plugin that protects your WordPress against abuse.
A Tensorflow LSTM spam detector utilizing GloVe word embeddings.
A profanity checker which, unlike alternatives, uses the Wagner–Fischer algorithm in order to catch variations that you haven't thought of.
Synchronization between two Wikipedia-based Corpora
Repository for Studying Abuse Detection (Abusive Language Detection)
Repository for the code used in my Master's Thesis: Community-based Abuse Detection: Using Distantly Supervised Data and Biased Word Embeddings
Building a dataset of Twitter replies for unsupervised learning / bot-blocking
A curses-style interface for automatic takedown notification based on MISP events.
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.
Code for the paper "Characterizing and Detecting Hateful Users on Twitter"
An emoji abuse lexicon which provides abuse scores for 334 frequently used emojis.
Censored word library, Ban abusive words
Python framework used at ESORICS, SNAMS and ASONAM to collect and annotate abusive content from Twitter
The code for SOP project done for the topic of Abuse detection in multilingual code-switched and code-mixed language using federated learning
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