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.

מידע ביבליוגרפי
מחבר ראשי:	Rabbi, Md. Nafis
מחברים אחרים:	Alam, Md. Golam Rabiul
פורמט:	Thesis
שפה:	English
יצא לאור:	Brac University 2024
נושאים:	Logistic regression Random forest regressor Sentiment analysis Naive Bayes Gaussian Data fusion Bitcoin. Cryptocurrencies > Prices
גישה מקוונת:	http://hdl.handle.net/10361/24031

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