Automatic authorship analysis using Deep neural networks

Authorship analysis helps to study the characteristics that distinguish how two different persons write. Writing style can be extracted in several ways, like using bag of words strategies or handcrafted features. However, with the growing of Internet, we have been able to witness an increase in the...

Full description

Autores:
Sierra Loaiza, Sebastian Ernesto
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/76747
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/76747
http://bdigital.unal.edu.co/73495/
Palabra clave:
Machine learning
Supervised Learning
Representation Learning
Automatic Authorship Analysis
Authorship Attribution
Author Profiling
Multimodal Author Profiling
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional