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.

Bibliografische gegevens
Hoofdauteur:	Shruti, Abanti Chakraborty
Andere auteurs:	Alam, Md. Golam Robiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	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.
Online toegang:	http://hdl.handle.net/10361/24034

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