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dc.contributor.author
Samaras, Athanasios
en
dc.date.accessioned
2023-06-09T11:27:29Z
dc.date.available
2023-06-09T11:27:29Z
dc.date.issued
2023-06-09
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/30288
dc.rights
Default License
dc.subject
Cryptofeel.eu
en
dc.subject
Cryptocurrency
el
dc.subject
NLP
el
dc.subject
Pegasus
el
dc.title
Real Time Crypto Sentiment Analysis
en
heal.type
masterThesis
en_US
heal.dateAvailable
2023-03-13
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Data Science
en_US
heal.publicationDate
2023-03-13
heal.abstract
This dissertation was written as a part of the MSc in Data Science at the International Hellenic University. This year, on the 3rd of January Bitcoin, has its thirteenth anniversary. Such an essential mark on the calendar, if anyone could consider that after that day thirteen years ago, more than 12.500 cryptocurrencies were released, according to CoinMarketCap, in 2021. This trend created new job descriptions, such as crypto traders, crypto analysts, crypto developers, and enthusiasts. As anything significant to the public audience nowadays it’s posted on the web, cryptocurrencies do not differ. People are trying to follow the trends regarding cryptocurrencies, learn about the news, and even watch some technical breakdowns to help them make their next move. In this paper, CryptoFeel.eu is being introduced, connecting the dots related to the Cryptocurrency News, Cryptocurrency Prices and Analytics, Voice of The Crowd, and Sentiment Analysis, all in real-time. CryptoFeel.eu aims to set strong pillars, related to future research in the field of real-time decision-making on cryptocurrency, taking into consideration the news and the sentiment analysis on social media. Real time decision making based on the Crypto sentiment analysis, by the time that this thesis was written, was totally missing from the market. Since this market operates 24/7 and bad or good news may have an impact on the market, this tool is now here, tracking the prices and the news 24/7 as well. In the first 2 months, this project has collected & analyzed more than 600.000 Tweets and more than 1.000 News & Articles from Yahoo Finance News, performing Sentiment Analysis on the Tweets and Abstractive Text Summarization & Sentiment Analysis on the Yahoo Finance News. These numbers are promising a great in-depth view in the important news that might have an impact on the prices.
en
heal.advisorName
Berberidis, Christos
el
heal.committeeMemberName
Peristeras, Vassilios
en
heal.committeeMemberName
Magnisalis, Ioannis
en
heal.academicPublisher
IHU
el
heal.academicPublisherID
ihu
en_US
heal.numberOfPages
70
en_US


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