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.
Main Authors: | Maliha, Miftahul Zannat, Trisha, Ananya Subhra, Tamzid Khan, Abu Mauze, Das, Prasoon, Shakil, Shuhanur Rahman |
---|---|
מחברים אחרים: | Hossain, Muhammad Iqbal |
פורמט: | Thesis |
שפה: | English |
יצא לאור: |
Brac University
2023
|
נושאים: | |
גישה מקוונת: | http://hdl.handle.net/10361/19233 |
פריטים דומים
-
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
מאת: Rahman, Shaomi, et al.
יצא לאור: (2018) -
Physical currency or crypto currency, which one will be better for our economy?
מאת: Rohan, Raian Kibria, et al.
יצא לאור: (2024) -
Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
מאת: Zaman, Md. Sayeed Ibne, et al.
יצא לאור: (2022) -
A framework for sentiment analysis: a data-driven approach
מאת: Islam, Md. Jahedul, et al.
יצא לאור: (2021) -
A sustainable Bitcoin architecture
מאת: Monem, Maruf
יצא לאור: (2022)