publication . Research . Article . Other literature type . 2021

Predicting innovative firms using web mining and deep learning

Jan Kinne; David Lenz;
Open Access English
  • Published: 01 Apr 2021
  • Publisher: Mannheim: ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
  • Country: Germany
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, granularity as well as timeliness and may involve high data collection costs, especially when conducted at a large scale. Consequently, they struggle to provide policy makers and scientists with the full picture of the current state of the innovation system. In this paper, we propose a first approach on generating web-based innovation indicators which may have the potential to overcome some of the shortcomings of trad...
free text keywords: O30, C81, C83, Web Mining, Web Scraping, R&D, R&I, STI, Innovation, Indicators, Text Mining, Natural Language Processing, NLP, Deep Learning, 330 Wirtschaft, Research Article, Research and Analysis Methods, Mathematical and Statistical Techniques, Statistical Methods, Forecasting, Physical Sciences, Mathematics, Statistics, Computer and Information Sciences, Neural Networks, Biology and Life Sciences, Neuroscience, Numerical Analysis, Extrapolation, Recurrent Neural Networks, Cognitive Science, Cognition, Memory, Memory Recall, Learning and Memory, People and places, Geographical locations, Europe, European Union, Germany, Artificial Intelligence, Artificial Neural Networks, Computational Biology, Computational Neuroscience, Population Groupings, Ethnicities, European People, German People, General Biochemistry, Genetics and Molecular Biology, General Agricultural and Biological Sciences, General Medicine, ddc:330, Granularity, Computer science, Artificial intelligence, business.industry, business, Data collection, Web scraping, computer.software_genre, computer, Artificial neural network, Web mining, Data science, Deep learning, lcsh:Medicine, lcsh:R, lcsh:Science, lcsh:Q
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