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
Autores principales: Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Otros Autores: Hossain, Muhammad Iqbal
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Crypto-currency
Machine learning
Bitcoin
Sentiment analysis
Prediction
Stock Market
Digital currency
Acceso en línea:http://hdl.handle.net/10361/19233

Internet

http://hdl.handle.net/10361/19233

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