Phonetic Detection for Hate Speech Spreaders on Twitter
Nowadays, hate messages have become the object of study on social media. Efficient and effective detection of hate profiles requires various scientific disciplines, such as computational linguistics and sociology. Here, we illustrate how we used lexical and phonetic features to determine if the auth...
- Autores:
-
Martínez Santos, Juan Carlos
Puertas Del Castillo, Edwin Alexander
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10419
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10419
http://ceur-ws.org/Vol-2936/paper-188.pdf
- Palabra clave:
- Phonetic syllable
Phonetic feature
Feature extraction
Hate speech spreader
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
