The predictive power of Twitter sentiment for forecasting cryptocurrencies’ short-term price movements

Additional Metadata
Keywords	sentiment analysis, cryptocurrency, Bitcoin, Dogecoin, Machine learning, LSTM
Thesis Advisor	Hassanpour, Reza, Mehta, Sameer
Persistent URL	hdl.handle.net/2105/65103
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Koritarova, Dayana. (2022). The predictive power of Twitter sentiment for forecasting cryptocurrencies’ short-term price movements. In Business Information Management.http://hdl.handle.net/2105/65103

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