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.

Podrobná bibliografie
Hlavní autoři: Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
Další autoři: Shakil, Arif
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2024
Témata:
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)
On-line přístup:http://hdl.handle.net/10361/22084

Internet

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

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