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 Style AAA Style APA 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, September 30). The predictive power of Twitter sentiment for forecasting cryptocurrencies’ short-term price movements. Business Information Management. Retrieved from http://hdl.handle.net/2105/65103

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