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

• 主要な著者: Alkubaisi, Ghaith Abdulsattar A. Jabbar, Kamaruddin, Siti Sakira, Husni, Husniza
• フォーマット: 論文
• 出版事項: Science Publishing Corporation Inc 2018
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: 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...