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.

Bibliografiska uppgifter
Huvudupphovsmän:	Sarkar, Ripa, Hassan, Md. Mehedi, Azad, Farin Beante, Hossin, Md. Nibras
Övriga upphovsmän:	Shakil, Arif
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	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)
Länkar:	http://hdl.handle.net/10361/22084

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