A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations

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

Podrobná bibliografie
Hlavní autoři:	Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Další autoři:	Hossain, Muhammad Iqbal
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Crypto-currency Machine learning Bitcoin Sentiment analysis Prediction Stock Market Digital currency
On-line přístup:	http://hdl.handle.net/10361/19233

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