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Authors: Israel Griol-Barres 1 ; Sergio Milla 2 and José Millet 3

Affiliations: 1 Instituto IDEAS, Vice-rectorate of Entrepreneurship and Employment, Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022, Valencia, Spain ; 2 FGYM, Vice-rectorate of Entrepreneurship and Employment, Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022, Valencia, Spain ; 3 Instituto ITACA, Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022, Valencia, Spain

ISBN: 978-989-758-350-6

Keyword(s): Weak Signal of the Future, Business Intelligence Architecture, Unstructured Information, Text Mining, Decision-Making.

Abstract: Not being able to cope with the constant changes in the market is currently one of the biggest threats for companies and start-ups. Therefore, the development of new systems to detect significant phenomena and future changes, is a key component for correct decision making that sets a correct course in the organisation. For this reason, a business intelligence architecture system is hereby proposed to allow the detection of discrete changes or weak signals in the present, indicative of more significant phenomena and transcendental changes in the future. In contrast to work currently available focusing on structured information sources, or at most with a single type of data source, the detection of these signals is here quantitatively based on heterogeneous and unstructured documents of various kinds (scientific journals, newspaper articles and social networks), to which text mining and natural language processing techniques (a multi-word expression analysis) are applied. The system has been tested to study the future of solar panels and the artificial intelligence sectors, obtaining promising results to help business experts in the recognition of new driving factors of their markets and the development of new opportunities. (More)

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Paper citation in several formats:
Griol-Barres, I.; Milla, S. and Millet, J. (2019). System Implementation for the Detection of Weak Signals of the Future in Heterogeneous Documents by Text Mining and Natural Language Processing Techniques.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 631-638. DOI: 10.5220/0007380306310638

@conference{icaart19,
author={Israel Griol{-}Barres. and Sergio Milla. and José Millet.},
title={System Implementation for the Detection of Weak Signals of the Future in Heterogeneous Documents by Text Mining and Natural Language Processing Techniques},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={631-638},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007380306310638},
isbn={978-989-758-350-6},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - System Implementation for the Detection of Weak Signals of the Future in Heterogeneous Documents by Text Mining and Natural Language Processing Techniques
SN - 978-989-758-350-6
AU - Griol-Barres, I.
AU - Milla, S.
AU - Millet, J.
PY - 2019
SP - 631
EP - 638
DO - 10.5220/0007380306310638

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