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.

Dettagli Bibliografici
Autori principali:	Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Altri autori:	Hossain, Muhammad Iqbal
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Crypto-currency Machine learning Bitcoin Sentiment analysis Prediction Stock Market Digital currency
Accesso online:	http://hdl.handle.net/10361/19233

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