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.

Bibliographische Detailangaben
Hauptverfasser:	Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
Weitere Verfasser:	Shakil, Arif
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	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)
Online Zugang:	http://hdl.handle.net/10361/22084

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