Bots and gender profiling on twitter using sociolinguistic features notebook for PAN at CLEF 2019
Unfortunately, in social networks, software bots or just bots are becoming more and more common because malicious people have seen their usefulness to spread false messages, spread rumors and even manipulate public opinion. Even though the text generated by users in social networks is a rich source...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9191
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9191
- Palabra clave:
- Author profiling
Bots profiling
Computational linguistic
Gender profiling
Sociolinguistic
User profiling
Character recognition
Classification (of information)
Computational linguistics
Learning algorithms
Linguistics
Machine learning
Social aspects
Social networking (online)
Social sciences computing
Author profiling
Bots profiling
Gender profiling
Sociolinguistic
User profiling
Botnet
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/