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.

书目详细资料
Main Authors: Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
其他作者: Shakil, Arif
格式: Thesis
语言:English
出版: Brac University 2024
主题:
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)
在线阅读:http://hdl.handle.net/10361/22084

因特网

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

相似书籍