Aggregating multiple types of complex data in stock market prediction: A model-independent framework

标题
Aggregating multiple types of complex data in stock market prediction: A model-independent framework
作者
关键词
Stock market, Machine learning, Sentiment analysis, Complex data, Heterogeneous data, Data aggregation
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 164, Issue -, Pages 193-204
出版商
Elsevier BV
发表日期
2018-11-09
DOI
10.1016/j.knosys.2018.10.035

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