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

Online

http://hdl.handle.net/10361/22084

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