Novel Approaches to the Development and Application of Informetric and Scientometric Tools: Special Issue of Journal of Data and Information Science on ISSI2019 Conference-Part II

Must (2020) investigates the evolution of the Social Science and Humanities thematic pattern through three funding instruments since 2007 with the aim of checking to what extent the EU Framework Program (FP) affects/does not affect research on national level, and to highlight hot topics from a given...

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Veröffentlicht in:	Journal of data and information science (Warsaw, Poland) Poland), 2020-11, Vol.5 (4), p.1-4
Hauptverfasser:	Catalano, Giuseppe, Daraio, Cinzia, Leta, Jacqueline, Moed, Henk F., Ruocco, Giancarlo, Zhang, Xiaolin
Format:	Artikel
Sprache:	eng
Schlagworte:	Academic publications Artificial intelligence Bibliometrics Citation indexes Collaboration Colleges & universities Data mining Hirsch index Humanities Information science Investigations Natural language processing Researchers Science Scientometrics Social sciences Text analysis Webometrics Zika virus
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Beschreibung
Zusammenfassung:	Must (2020) investigates the evolution of the Social Science and Humanities thematic pattern through three funding instruments since 2007 with the aim of checking to what extent the EU Framework Program (FP) affects/does not affect research on national level, and to highlight hot topics from a given period with the help of text analysis. Shen and Wang (2020) introduce an open source natural language processing and text mining method for topic evolution, emerging topic detection and research trend forecasting for all kinds of data-tagged text. Current status and enhancement of collaborative research in the world: A case study of Osaka University.
ISSN:	2543-683X 2096-157X 2543-683X
DOI:	10.2478/jdis-2020-0041