Predicting the Price Direction of Bitcoin Using Twitter Data and Machine Learning

Bitcoin is a decentralized digital currency that was intro- duced in 2009 and since then, has become increasingly popular as one of the most known and highly valued currencies. Contributing factors to its rise include crypto Twitter influencers. An engaged audience on Twitter seems to have an influe...

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Veröffentlicht in:2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) S. 46 - 52
Hauptverfasser: Kanji, Abdul Mannan, Chaudhary, Ishita, Shankar, Rithika Lakshmi, Srinivasa, Gowri
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 28.10.2022
Schlagworte:
Bitcoin
Blogs
Candlestick plots
Computational modeling
Cryptocurrency
Machine learning models
Moon
Online banking
Price direction prediction
Social networking (online)
Support vector machine classification
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Zusammenfassung:Bitcoin is a decentralized digital currency that was intro- duced in 2009 and since then, has become increasingly popular as one of the most known and highly valued currencies. Contributing factors to its rise include crypto Twitter influencers. An engaged audience on Twitter seems to have an influence on the cryptocurrency market. In this paper, we analyze the impact that tweets have on the price of Bitcoin. Using word-clouds and candlestick plots, we gain insight into the factors that affect Bitcoin prices. We also use various machine learning techniques to automatically classify the sentiment in Tweets related to cryptocurrencies. We incorporate these and other relevant features to build and compare the performance of multiple machine learning models to predict the direction (increase or decrease) of the price of Bitcoin.
DOI:10.1109/ICDSCA56264.2022.9988558