Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers

This paper presents a sentiment analysis combining the lexicon-based and machine learning (ML)-based approaches in Turkish to investigate the public mood for the prediction of stock market behavior in BIST30, Borsa Istanbul. Our main motivation behind this study is to apply sentiment analysis to fin...

詳細記述

書誌詳細

出版年:	Heliyon
主要な著者:	Handan Cam, Alper Veli Cam, Ugur Demirel, Sana Ahmed
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-01-01
主題:	Sentiment analysis Natural language processing Machine learning Stock market Twitter
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405844023109923