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.

Detalhes bibliográficos
Autor principal: Shruti, Abanti Chakraborty
Outros Autores: Alam, Md. Golam Robiul
Formato: Thesis
Idioma:English
Publicado em: Brac University 2024
Assuntos:
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.
Acesso em linha:http://hdl.handle.net/10361/24034

Internet

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

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