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...

Full description

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/