Predicting Cryptocurrency Prices During Periods of Conflict: A Comparative Sentiment Analysis Using SVM, CNN-LSTM, and Pysentimento
Crossref DOI link: https://doi.org/10.1007/s43069-024-00352-6
Published Online: 2024-08-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rateb, Muhammad Nabil
Alansary, Sameh
Elzouka, Marwa Khamis
Galal, Mohamad
Text and Data Mining valid from 2024-08-14
Version of Record valid from 2024-08-14
Article History
Received: 5 March 2024
Accepted: 23 July 2024
First Online: 14 August 2024
Declarations
:
: The authors declare no competing interests.