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 GmbH Mannheim |
Subject: | Web Mining | Web Scraping | R&D | R&I | STI | Innovation | Indicators | Text Mining | Natural Language Processing | NLP | Deep Learning | Data Mining | Data mining | Social Web | Social web | Internet | Künstliche Intelligenz | Artificial intelligence | Bergbau | Mining | Text | Big Data | Big data |
Extent: | 1 Online-Ressource (9 Seiten) Illustrationen |
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Series: | Discussion paper. - [Mannheim] : [ZEW], ZDB-ID 2985404-0. - Vol. no. 19-001 (01/2019) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | hdl:10419/191615 [Handle] |
Classification: | O30 - Technological Change; Research and Development. General ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C83 - Survey Methods; Sampling Methods |
Source: | ECONIS - Online Catalogue of the ZBW |
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