ANALYZING LOW-RESOURCE LANGUAGE FEEDBACK ACROSS INDUSTRIES: A WEB BASED TOOL WITH MULTIPARADIGM MACHINE LEARNING APPROACHES FOR CUSTOMER SATISFACTION PREDICTION /

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Detalles Bibliográficos
Autor principal:	ESAM, ABRAR MAHIR
Autor Corporativo:	Supervised by Md Akhtaruzzaman (Assistant Professor, Dept of CSE, MIST)
Formato:	Libro
Lenguaje:	inglés
Publicado:	Dhaka : CSE DEPT. MIST, c2025.
Materias:	Computer Science and Engineering This Thesis Paper of CSE in BSc Program.
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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