CLG Authorship Analytics: a library for authorship verification
File Type:
PDFItem Type:
Journal ArticleDate:
2022Access:
openAccessCitation:
Moreau, Erwan and Vogel, Carl, CLG Authorship Analytics: a library for authorship verification, International Journal of Digital Humanities, 2022Abstract:
The task of authorship verification consists in detecting whether two texts have been written by the same person. This paper describes the CLG Authorship Analytics software, which implements several individual methods as well as a stacked generalization system for authorship verification. The approach relies primarily on ensemble learning methods, i.e. repeatedly sampling the data in order to capture the invariant stylistic patterns. The approach is tested through a series of experiments designed to test the ability of the system to generalize, depending on various parameters. The code and results of the experiments are publicly available https://github.com/erwanm/clg-authorship-experiments.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/moreaue
Author: Vogel, Carl; Moreau, Erwan
Sponsor:
Science Foundation Ireland (SFI)Type of material:
Journal ArticleCollections
Series/Report no:
International Journal of Digital Humanities;Availability:
Full text availableSubject (TCD):
Digital Humanities , Computational Linguistics , Computational linguistics , authorship attribution , authorship profiling , computational linguistics , computational stylistics , forensic linguistics , stylisticsDOI:
https://doi.org/10.1007/s42803-022-00051-wMetadata
Show full item recordLicences: