The Java Graphical Authorship Attribution Program
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Updated
Jul 6, 2024 - 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.
Collected solutions from Google Code Jam programming competition (2008-2020).
A package for generating CRediT (Contributor Role Taxonomy) statements
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
Authorship Attribution of Tweets using Convolutional Neural Networks Over character n-grams
Implementation of Disjoint Author-Document Topic Model
Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics
Paper list for the paper "Authorship Attribution in the Era of Large Language Models: Problems, Methodologies, and Challenges"
Authorship Attribution with Machine Learning
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.
Usage of stylometry and machine learning in computer forensics - real tools used in 2019 by the polish police. Everything in/for polish language.
Training ML/NN models to predict author, author's sex, and author's literary period given small snippet of text using NLTK, Gensim, Doc2Vec, Polygot, and Stanford NER
The Python Graphical Authorship Attribution Program — An experimental Python port of the Duquesne University Evaluating Variations in Language Lab's JGAAP.
Stylometric analysis of poetic texts based on their versification
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.
Курсовая работа по обработке данных
An Authorship Attribution Dataset for Detecting Human-Trafficking Operations on Escort Advertisements. (EMNLP 2023)
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