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.

Библиографические подробности
Главные авторы:	Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Другие авторы:	Hossain, Muhammad Iqbal
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Crypto-currency Machine learning Bitcoin Sentiment analysis Prediction Stock Market Digital currency
Online-ссылка:	http://hdl.handle.net/10361/19233

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