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...
- 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