Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
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Title
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
Authors
Keywords
Stock price trend prediction, Sentiment analysis, Latent Dirichlet allocation, Text mining, Fuzzy set theory, Twin support vector machine
Journal
APPLIED SOFT COMPUTING
Volume 98, Issue -, Pages 106806
Publisher
Elsevier BV
Online
2020-10-28
DOI
10.1016/j.asoc.2020.106806
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