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The predictive power of social media in cryptocurrencies value fluctuation - A sentiment analysis approach on "memecoins"
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Autores
Resumo(s)
Since the emergence of Bitcoin in 2009, cryptocurrencies have been an increasingly spoken asset, becoming a global phenomenon. Since Bitcoin, thousands of other coins have been introduced to the public with their value depending on the perception of the market. The high volatility as well as the lack of regulation makes these assets a risky investment, however, the amount of people who believe that cryptocurrencies represent the future of money has never been higher. The reason behind the high volatility can be understood because cryptocurrencies prices depend on factors like technological progress, regulations and legal matters, security issues, political factors, among others that obviously include supply and demand. This high volatility associated with the rising interest on the assets is driving the need of understanding and predicting the impacts that certain factors may have on the value of cryptocurrencies. This research addresses the ability of using data from social media platforms, specifically Twitter to predict changes in memecoins like Dogecoin, by using learning algorithms.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Cryptocurrency Twitter Google Trends Sentiment analysis Machine learning