Sentiment analysis on social media for stock movement prediction

•A novel method for predicting stock price movement was presented.•Topics and sentiments of them were extracted from social media as the feature.•Two methods were proposed to capture the topic-sentiment feature.•Integration of the sentiments was investigated via a large scale experiment.•Our model o...

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Vydané v:	Expert systems with applications Ročník 42; číslo 24; s. 9603 - 9611
Hlavní autori:	Nguyen, Thien Hai, Shirai, Kiyoaki, Velcin, Julien
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 30.12.2015 Elsevier
Predmet:	Accuracy Artificial Intelligence Classification Computer Science Construction Data mining Digital media Document and Text Processing Historic Information Retrieval Machine Learning Mathematical models Message board Opinion mining Prediction Raw materials Sentiment analysis Social media Social networks Statistics Stock Web Sentiment analysis Message board Social media Classification Prediction Opinion mining Stock
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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