David Lenz

Justus-Liebig-University Giessen

Licher Str. 64

Giessen, 35394

Germany

http://https://www.uni-giessen.de/fbz/fb02/fb/professuren/vwl/winker/kontakt/mitarbeiter/lenz

  • Justus-Liebig-University Giessen

SCHOLARLY PAPERS

4

DOWNLOADS

324

SSRN CITATIONS

2

CROSSREF CITATIONS

2

Scholarly Papers (4)

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1.

Predicting Innovative Firms Using Web Mining and Deep Learning

ZEW - Centre for European Economic Research Discussion Paper No. 19-01
Number of pages: 12 Posted: 23 Jan 2019 Last Revised: 07 Feb 2020
Jan Kinne and David Lenz
Centre for European Economic Research (ZEW) and Justus-Liebig-University Giessen
Downloads 154 (264,391)
Citation 4

Abstract:

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Web Mining, Web Scraping, R&D, R&I, STI, Innovation, Indicators, Text Mining, Natural Language Processing, NLP, Deep Learning

2.

The Digital Layer: How Innovative Firms Relate on the Web

ZEW - Centre for European Economic Research Discussion Paper No. 20-003
Number of pages: 13 Posted: 04 Feb 2020 Last Revised: 07 Feb 2020
Miriam Krüger, Jan Kinne, David Lenz and Bernd Resch
Technische Universität Berlin (TU Berlin), Centre for European Economic Research (ZEW), Justus-Liebig-University Giessen and University of Salzburg
Downloads 117 (325,804)
Citation 1

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Web Mining, Innovation, Proximity, Network, Natural Language Processing

3.

Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining

ZEW - Centre for European Economic Research Discussion Paper No. 22-006, 2022
Number of pages: 29 Posted: 08 Mar 2022
Sebastian Schmidt, Jan Kinne, Sven Lautenbach, Thomas Blaschke, David Lenz and Bernd Resch
Centre for Geoinformatics (Z_GIS), University of Salzburg, Centre for European Economic Research (ZEW), Heidelberg University, Centre for Geoinformatics (Z_GIS), University of Salzburg, Justus-Liebig-University Giessen and University of Salzburg
Downloads 32 (617,337)

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Sentinel-5P, air pollution, natural language processing, spatial regression

4.

An Integrated Data Framework for Policy Guidance in Times of Dynamic Economic Shocks

ZEW - Centre for European Economic Research Discussion Paper No. 21-062
Number of pages: 33 Posted: 17 Sep 2021
Julian Oliver Dörr, Jan Kinne, David Lenz, Georg Licht and Peter Winker
Justus-Liebig-University Giessen, Centre for European Economic Research (ZEW), Justus-Liebig-University Giessen, ZEW - Leibniz Centre for European Economic Research and University of Giessen - Department of Economics
Downloads 21 (694,231)

Abstract:

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COVID-19, impact assessment, corporate sector, corporate websites, web mining, NLP