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.

Dettagli Bibliografici
Autori principali:	Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
Altri autori:	Shakil, Arif
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	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)
Accesso online:	http://hdl.handle.net/10361/22084

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