The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)

• Main Authors: Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Ameerbakhsh, Omair
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/93954/7/93954_The_Influence_of_Sentiments_in_Digital_Currency_Prediction_.pdf; http://irep.iium.edu.my/93954/8/93954_SCOPUSresults.pdf; http://irep.iium.edu.my/93954/19/93954_The%20influence%20of%20sentiments%20in%20digital%20currency%20prediction_SCOPUS.pdf; http://irep.iium.edu.my/93954/; https://ieeexplore.ieee.org/abstract/document/9493454

Getting an accurate prediction of a digital currency, also known as a cryptocurrency price index, becomes a significant factor in helping investors make the right decision. Failure to predict the movement of the crypto market gives a huge impact on profit loss. The difficult part is that market is d...