What is it about?
We try to contribute in providing added value for the stock market prediction by incorporating knowledge from the unstructured side (mainly news about companies) as well as to understand the best way of integrate them with the existing and commonly used set of structured features.
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Why is it important?
It does prove to what end the combination of features contribute in the improvement of these methods. Comparison from different sets of features as well as from different modelling techniques are carried out.
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This page is a summary of: Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach, Complexity, August 2019, Hindawi Publishing Corporation, DOI: 10.1155/2019/9202457.
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