The Java Graphical Authorship Attribution Program

Data and code for Kang et al., EMNLP 2019's paper titled "(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas"

Collected solutions from Google Code Jam programming competition

Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R

Source code embeddings for various programming languages

Repository for author masking

Bibtex copy of the Zotero bibliography on Stylometry

A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.

A Shiny GUI for Stylo

Materials for EnExDi2020 (Poitiers, February 10-14):

25 poemas en español fechados en el siglo XVI y XVII

Stylometric analysis of poetic texts based on their versification

With the rapid growth of Bangla music industry huge volume of Bangla songs are produced every day. Immense number of producers, lyricists, singers and artists are involved in production of songs from different genres. Among many genres of Bangla music; classical, folk, baul, modern music, Rabindra Sangeet, Nazrul Geeti, film music, rock music and fusion music has gained the highest popularity. Lyricists try to express their feelings and views towards any situation or subject through their writings. Therefore, each lyricist have their own dictionary of thoughts to put on music lyrics. In this paper, we have presented “BanglaMusicStylo”, the very first stylometric dataset of Bangla music lyrics. We have collected 2824 Bangla song lyrics of 211 lyricists in a digital form. All the lyrics are stored in text format for further use. This dataset could be used for stylometric analysis such as authorship attribution, linguistic forensics, gender identification from textual data, Bangla music genre classification, vandalism detection, emotion classification etc. Identifying the significant research opportunities in this area, we have formalized this dataset which could be used for stylometric analysis.

I like the name bu, but I called this User Stylometry Association, or UStylA, in my paper. In short, this just clusters users based on their stylometry - how they write stuff. This ended up as my Senior Honours project at The University of St Andrews. I had more ambitious plans but I didn't have enough time for them. This isn't half bad either though.

Writeprints-Static Feature Set exctraction for Adversarial Stylometry

subtitle-based film similarities

The goal for this project is to research and present a method for hebrew short messages stylometry. The system that should be implemented should be able to identify an author of a message based on previously learned authoring style. The goal is to study the features required for such identification, when working on short messages in Hebrew language.

Python package to deal with PAN corpora and extract stylometric features from text documents.

This is a short introductory tutorial on Stylo package in R language

Julia package for stylometric analysis

some slides i put together for a short talk on stylometry at splunk

The Mechanical Copybook

Corpora of Thomas Moore texts and results of stylometric analysis

Covers wide range of industry implemented topics. (Course on JOC by IIT Ropar via NPTEL)

This Projects aim to evaluate the efficiency of Stylometry approach as an authentication method. Stylometric analysis research has been done for author identification and there is significant progress to recognize an author based on their written texts. In this project, we tried to detect differences between writing styles on the same topic provided by a set of users and we test that these differences are enough to use for an authentication system or not.