✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
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Updated
Aug 6, 2024 - Python
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics
POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis
Usage of stylometry and machine learning in computer forensics - real tools used in 2019 by the polish police. Everything in/for polish language.
A Python library that allows easy extraction of a variety of text units within texts...
Authorship-aware scientific writing analysis: author space, target-paper style, calibrated generation evidence, and integrity-safe revision.
Search PubMed for author affiliations of EMDB associated publications
Analysis and comparison of Hadith styles grouped by the degree of the Hadith
LAC: Latent Authorial Clustering of Shorter Texts
Topic-agnostic authorship tasks for Spanish political speeches
A lightweight forensic stylometric AI-text detector for Windows.
A collection of python scripts / jupyter notebooks to construct various datasets across NLP and CV topics.
This repository contains data and code to replicate experiments of author profiling using new type of features
Intrinsic style change detection — identifies authorship boundaries within a single document using a dual-stream ensemble of classical stylometrics (SVM) and contextual embeddings (Siamese MLP). Trained and evaluated on PAN 2025.
Stylometric comparison of authors via syntactic phrases: spaCy dependency parsing, phrase frequency profiles, Word2Vec + PCA projections, cosine similarity and Jaccard index. For Ukrainian texts.
Online Course Demand Analysis dashboard to highlight courses, topics and fields demands, authors courses, students feedback and rating analysis
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