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.

書目詳細資料
Main Authors: Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
其他作者: Shakil, Arif
格式: Thesis
語言:English
出版: Brac University 2024
主題:
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)
在線閱讀:http://hdl.handle.net/10361/22084

因特網

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

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