Conceptual framework for stock market classification model using sentiment analysis on twitter based on hybrid Naïve Bayes Classifiers

• Main Authors: Alkubaisi, Ghaith Abdulsattar A. Jabbar, Kamaruddin, Siti Sakira, Husni, Husniza
• Format: Article
• Published: Science Publishing Corporation Inc 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/26018/; https://www.sciencepubco.com/index.php/ijet/article/view/11156

Sentiment analysis has gained a lot of importance in last decade especially on the availability of data from Twitter that has created more interest for research in this field. Nevertheless, stock market classification models still suffer less accuracy and this has affected negatively the stock marke...