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Graph-based research field analysis by the use of natural language processing: An overview of German energy research

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Umfang57 Seiten

Zweitveröffentlicht auf dem Publikationsserver der RWTH Aachen University

Online
DOI: 10.18154/RWTH-2022-11105
URL: https://publications.rwth-aachen.de/record/856761/files/856761.pdf

Einrichtungen

  1. Lehrstuhl für Gebäude- und Raumklimatechnik (419510)
  2. E.ON Energy Research Center (080052)


Inhaltliche Beschreibung (Schlagwörter)
Keyword extraction (frei) ; Network analysis (frei) ; Research funding (frei) ; Research trends (frei) ; Text mining (frei)

Thematische Einordnung (Klassifikation)
DDC: 600

OpenAccess:
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Dokumenttyp
Preprint

Format
online

Sprache
English

Interne Identnummern
RWTH-2022-11105
Datensatz-ID: 856761

Beteiligte Länder
Germany

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a book  ;  ;  ;
Graph-based research field analysis by the use of natural language processing: An overview of German energy research
Technological forecasting and social change 186(Part B), 122139 () [10.1016/j.techfore.2022.122139] special issue: "The Political Economy of the Climate Crisis after the Discussions in the COP 26 Summit / Edited by Scott Cunningham, Giray Gozgor, Karoline Rogge"  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


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Faculty of Mechanical Engineering (Fac.4)
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080052
419510

 Record created 2022-12-07, last modified 2026-03-03


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