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.


Stock market prediction of the renowned company grounded in knowledge graph is an interesting topic for business activities. Given that the study of knowledge graph for feature set is still in its infancy, we expect it to be applied in a wide range of academic research. More companies will also earn profits and create more opportunities through the use of knowledge graph in the feature set.

Joaquin Ordieres-Meré
Universidad Politecnica de Madrid

Read the Original

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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