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Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing

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Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing

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Griol-Barres, I.; Milla, S.; Cebrián Ferriols, AJ.; Fan, H.; Millet Roig, J. (2020). Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing. Sustainability. 12(19):1-21. https://doi.org/10.3390/su12197848

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Título: Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing
Autor: Griol-Barres, Israel Milla, Sergio Cebrián Ferriols, Antonio José Fan, Huaan Millet Roig, José
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Fecha difusión:
Resumen:
[EN] Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make ...[+]
Palabras clave: New sustainable business models , Business intelligence , Natural language processing , Weak signals of the future , Predictive models , Text mining
Derechos de uso: Reconocimiento (by)
Fuente:
Sustainability. (eissn: 2071-1050 )
DOI: 10.3390/su12197848
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/su12197848
Código del Proyecto:
info:eu-repo/grantAgreement/EC/Erasmus+/573965-EPP-1-2016-1-SE-EPPKA2-CBHE-JP/EU/Enhancing innovation competences and entrepreneurial skills in engineering education/InnoCENS/
info:eu-repo/grantAgreement/EIT Climate-KIC//TC_3.1.5_190607_P066-1A/
Agradecimientos:
This research is partially supported by EIT Climate-KIC of the European Institute of Technology (project EIT Climate-KIC Accelerator-TC_3.1.5_190607_P066-1A) and InnoCENS from Erasmus + (573965-EPP-1-2016-1-SE-EPPKA2-CBHE-JP).[+]
Tipo: Artículo

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