Emotion recognition and flip reasoning in english and mixed-coded con-versations based on a valence, arousal and dominance approach
Using the NRC VAD Lexicon and computational models like Transformer and GRU, this study presents a novel method for emotion recognition and reasoning about emo- tional transitions in code-mixed talks. We use Emotion Flip Reasoning (EFR) and Emotion Recognition in Conversation (ERC) to systematically...
- Autores:
-
García Bedoya, Santiago Andre
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/13916
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/13916
https://utb.alma.exlibrisgroup.com/discovery/delivery/57UTB_INST:57UTB_INST/1242716950005731
- Palabra clave:
- Machine learning
Engineering -- Statistics
Computational linguistics
Python
Emotions
Mathematical statistics -- Data processing
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/