Human sentiment analysis using natural language processing

Human sentiment analysis using natural language processing

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Opis bibliograficzny
Główni autorzy:	Shamya, Md. Shamiul Haque Khan, Fahim, Md. Shariar Hossain, Khan, Niaz Makhdum, Monir, K.M Mahfuzul, Hussain, Mubasshir
Kolejni autorzy:	Nahim, Nabuat Zaman
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	Sentiment CNN-LSTM LSTM RNN Emotion NLP Prediction Token Embedding Machine learning Natural language processing (Computer science)
Dostęp online:	http://hdl.handle.net/10361/22675

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