Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane

标题
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
作者
关键词
Stock price trend prediction, Sentiment analysis, Latent Dirichlet allocation, Text mining, Fuzzy set theory, Twin support vector machine
出版物
APPLIED SOFT COMPUTING
Volume 98, Issue -, Pages 106806
出版商
Elsevier BV
发表日期
2020-10-28
DOI
10.1016/j.asoc.2020.106806

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