Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.

Bibliografske podrobnosti
Main Authors:	Safa, Bushra, Eva, Sanjida Noushin, Hossain, Sania, Salauddin, A.K.M, Upoma, Lubaba Fakruddin
Drugi avtorji:	Mostakim, Moin
Format:	Thesis
Jezik:	en_US
Izdano:	Brac University 2023
Teme:	Social media data mining Epidemic modeling Neural network Prediction Machine learning Digital currency
Online dostop:	http://hdl.handle.net/10361/17722

id	10361-17722
record_format	dspace
spelling	10361-177222023-01-15T21:01:46Z Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling Safa, Bushra Eva, Sanjida Noushin Hossain, Sania Salauddin, A.K.M Upoma, Lubaba Fakruddin Mostakim, Moin Department of Computer Science and Engineering, Brac University Social media data mining Epidemic modeling Neural network Prediction Machine learning Digital currency This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-34). With the introduction of blockchain technology in recent years, there has been a mas sive increase in the use of Cryptocurrencies. In any event, due of the market’s un predictable behavior and excessive cost volatility, Cryptocurrencies are not viewed as a viable business prospect. Because of their deterministic character, the majority of the arrangements disclosed in the writing for Cryptocurrency value guaging may not be relevant for ongoing value prediction. The prior suggested models induce layer wise haphazardness into the observed, which includes brain organization enactments to recreate market unpredictability. Our project will provide a method for grouping comparable coins based on their characteristics. The fluctuations in the value of the categorized cryptocurrency are then calculated. After examining some of the most fre quently used deep learning algorithms in the presented articles, it is clear that neural network deep learning, as well as other forms of data mining, cannot handle the price prediction issue efficiently and effectively. As a result, it is critical to adopt and create new technologies in order to improve efficiency. Another approach that we may use is social media data mining and epidemic modeling. Using this, we should be able to make better predictions, given social media sites are masters at studying different peo ple’s opinions these days. In reality, it is currently being used by a significant number of organizations to forecast the value of the stock market, giving us the opportunity to improve time efficiency and provide better results. Bushra Safa Sanjida Noushin Eva Sania Hossain A.K.M Salauddin Lubaba Fakruddin Upoma B. Computer Science 2023-01-15T09:36:50Z 2023-01-15T09:36:50Z 2021 2021-10 Thesis ID: 17101179 ID: 17101180 ID: 17101512 ID: 17301201 ID: 17305003 http://hdl.handle.net/10361/17722 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 34 Pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	en_US
topic	Social media data mining Epidemic modeling Neural network Prediction Machine learning Digital currency
spellingShingle	Social media data mining Epidemic modeling Neural network Prediction Machine learning Digital currency Safa, Bushra Eva, Sanjida Noushin Hossain, Sania Salauddin, A.K.M Upoma, Lubaba Fakruddin Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.
author2	Mostakim, Moin
author_facet	Mostakim, Moin Safa, Bushra Eva, Sanjida Noushin Hossain, Sania Salauddin, A.K.M Upoma, Lubaba Fakruddin
format	Thesis
author	Safa, Bushra Eva, Sanjida Noushin Hossain, Sania Salauddin, A.K.M Upoma, Lubaba Fakruddin
author_sort	Safa, Bushra
title	Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
title_short	Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
title_full	Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
title_fullStr	Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
title_full_unstemmed	Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
title_sort	cryptocurrency price prediction using social media data mining and epidemic modeling
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/17722
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_version_	1814309714621628416

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling

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