Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Detalles Bibliográficos
Autores principales: Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
Otros Autores: Shakil, Arif
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Facebook
YouTube
Positive
Negative
Sarcastic
Logistic regression
K-nearest neighbor
Multinomial naive bayes
Random forest
Tree classifier
Support vector machine
Adaboost classifier
Gaussian naive bayes
Machine learning
Natural language processing (Computer science)
Acceso en línea:http://hdl.handle.net/10361/22084

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