The Java Graphical Authorship Attribution Program
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Updated
Jun 10, 2023 - Java
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 package for generating CRediT (Contributor Role Taxonomy) statements
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.
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.
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.
Authorship Attribution for Romanian
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).
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