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.

Dades bibliogràfiques
Autors principals: Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman
Altres autors: Hossain, Muhammad Iqbal
Format: Thesis
Idioma:English
Publicat: Brac University 2023
Matèries:
Crypto-currency
Machine learning
Bitcoin
Sentiment analysis
Prediction
Stock Market
Digital currency
Accés en línia:http://hdl.handle.net/10361/19233

Internet

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

Ítems similars