Predicting innovative firms using web mining and deep learning
Year of publication: |
2019
|
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Authors: | Kinne, Jan ; Lenz, David |
Publisher: |
Mannheim : ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung |
Subject: | Web Mining | Web Scraping | R&D | R&I | STI | Innovation | Indicators | Text Mining | Natural Language Processing | NLP | Deep Learning |
Series: | ZEW Discussion Papers ; 19-001 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1047440679 [GVK] hdl:10419/191615 [Handle] RePEc:zbw:zewdip:19001 [RePEc] |
Classification: | O30 - Technological Change; Research and Development. General ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C83 - Survey Methods; Sampling Methods |
Source: |
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Predicting innovative firms using web mining and deep learning
Kinne, Jan, (2019)
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Web mining of firm websites : a framework for web scraping and a pilot study for Germany
Kinne, Jan, (2018)
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Web mining of firm websites: A framework for web scraping and a pilot study for Germany
Kinne, Jan, (2018)
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Kinne, Jan, (2020)
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Kinne, Jan, (2020)
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Kinne, Jan, (2024)
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