Sentiment analysis in twitter: Impact of morphological characteristics
This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine those that provide the best performance when detecting the emotional charge c...
- Autores:
-
Silva, Jesús
Cera Visbal, Juan Manuel
Vargas, Jesús
Pineda, Omar
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7295
- Acceso en línea:
- https://hdl.handle.net/11323/7295
https://repositorio.cuc.edu.co/
- Palabra clave:
- Morphological characteristics
Sentiment analysis
Twitter
Weka
- Rights
- closedAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
| Summary: | This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine those that provide the best performance when detecting the emotional charge contained in the Tweets. |
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