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.

書誌詳細
主要な著者:	Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
その他の著者:	Shakil, Arif
フォーマット:	学位論文
言語:	English
出版事項:	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)
オンライン･アクセス:	http://hdl.handle.net/10361/22084

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