Detecting tweet sentiment and sarcasm on online learning during covid-19

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detalles Bibliográficos
Autores principales:	Das, Shishir Kumar, Nisa, Khairun, Kabir, Razit, Tonni, Israt Jahan
Otros Autores:	Chakrabarty, Dr. Amitabha
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2024
Materias:	Data mining Machine learning Tweet Sarcasm Prediction Decision tree Linear regression analysis Online learning Computational linguistics. Natural language processing (Computer science)
Acceso en línea:	http://hdl.handle.net/10361/22718

Descripción
Sumario:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

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