Stylometry - Open Access .click

ACM Transactions on Information and System Security, 2012
The use of stylometry, authorship recognition through purely linguistic means, has contributed to literary, historical, and criminal investigation breakthroughs. Existing stylometry research assumes that authors have not attempted to disguise their linguistic writing style.
Michael Brennan, Sadia Afroz, Rachel Greenstadt +2 more
openaire +1 more source

Checkpoints on code stylometry

2023
This release contains three trained models (checkpoints) related to the "Stylometry for Real-World Expert Coders: a Zero-shot Approach" paper, respectively: - MLAllVocaBSoftAtt referees to the soft attention model trained with infoNCE loss without B.P.E, with bounding.
Gabbrielli Maurizio, Gurioli Andrea, Zacchiroli Stefano +2 more
openaire +1 more source

Author Identification using Stylometry

2018 International Conference on Smart City and Emerging Technology (ICSCET), 2018
“Every person is unique”, we have been hearing this since ages. Every person has a unique identity, a unique fingerprint, a unique retina and a lot more. These features playa vital role in identification of individuals for security purposes. Unfortunately, when it comes to security of written pieces or words from an individual, these primary unique ...
Sujata Khedkar +4 more
openaire +1 more source

Surveying Stylometry Techniques and Applications

ACM Computing Surveys, 2017
The analysis of authorial style, termed stylometry, assumes that style is quantifiably measurable for evaluation of distinctive qualities. Stylometry research has yielded several methods and tools over the past 200 years to handle a variety of challenging cases. This survey reviews several articles within five prominent subtasks: authorship attribution,
Tempestt Neal +5 more
openaire +1 more source

authorship attribution
natural language processing
16. peace & justice

linguistics
machine learning
authorship

computational linguistics
artificial intelligence
computer science