Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

Detalles Bibliográficos
Autor principal: Shruti, Abanti Chakraborty
Otros Autores: Alam, Md. Golam Robiul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Sentiment analysis
Machine learning
Bengali speech
Decision tree
Random forest regressor
CNN
BanglaBERT
LSTM
Automatic speech recognition > Bengali.
Natural language processing (Computer science).
Speech processing systems.
Computational linguistics.
Sentiment analysis > Data processing.
Acceso en línea:http://hdl.handle.net/10361/24034

Internet

http://hdl.handle.net/10361/24034

Ejemplares similares