Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

Bibliografski detalji
Glavni autor:	Rabbi, Md. Nafis
Daljnji autori:	Alam, Md. Golam Rabiul
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Logistic regression Random forest regressor Sentiment analysis Naive Bayes Gaussian Data fusion Bitcoin. Cryptocurrencies > Prices
Online pristup:	http://hdl.handle.net/10361/24031

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