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.

Detalles Bibliográficos
Main Authors: Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Outros autores: Hossain, Muhammad Iqbal
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Crypto-currency
Machine learning
Bitcoin
Sentiment analysis
Prediction
Stock Market
Digital currency
Acceso en liña:http://hdl.handle.net/10361/19233

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