The Java Graphical Authorship Attribution Program

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

Authorship Attribution of Tweets using Convolutional Neural Networks Over character n-grams

Collected solutions from Google Code Jam programming competition (2008-2020).

An authorship attribution system based on a machine learning model using syntactic linguistic information as a feature set.

Finding Gender/Age of Authors based on written text

A repository containing the source code, datasets, and ranked features for the Nested Bigrams method proposed in a paper published in ICDMW. This method is designed for authorship attribution in source code to address cybersecurity issues.

A package for generating CRediT (Contributor Role Taxonomy) statements

Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics

Implementation of Disjoint Author-Document Topic Model

Authorship Attribution with Machine Learning

Ataurus is Attribution of Authorship Russian. The program to identify authors of russian texts.

Authorship Attribution for Romanian

The Python Graphical Authorship Attribution Program — An experimental Python port of the Duquesne University Evaluating Variations in Language Lab's JGAAP.

Usage of stylometry and machine learning in computer forensics - real tools used in 2019 by the polish police. Everything in/for polish language.

Comparison of classification power (literary authorship attribution case) of word-based, lemma-based, POS-based and mBERT-based document embeddings, as well as their combinations.

Manage authors independent of WordPress Users

Ati is a web-based application for predicting which famous classic Bulgarian novelist wrote a piece of text (short or long).