Compilation of a social network lexicon for determining the profile of authors

The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, o...

Full description

Autores:
Viloria, Amelec
Parra Negrete, Kevin
Conde, Marcial
Pineda Lezama, Omar Bonerge
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7881
Acceso en línea:
https://hdl.handle.net/11323/7881
https://doi.org/10.1007/978-981-15-9671-1_23
https://repositorio.cuc.edu.co/
Palabra clave:
Author profiles
Information and communication
Social network lexicon
Machine learning
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International