Measuring the diffusion of innovations with paragraph vector topic models

Measuring the diffusion of innovations from textual data sources besides patent data has not been studied extensively. However, early and accurate indicators of innovation and the recognition of trends in innovation are mandatory to successfully promote economic growth through technological progress...

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Veröffentlicht in:	PloS one Jg. 15; H. 1; S. e0226685
Hauptverfasser:	Lenz, David, Winker, Peter
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 22.01.2020 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Comprehension Computer and Information Sciences Data mining Datasets Diffusion Diffusion of Innovation Economic development Economic growth Embryology Engineering and Technology Humans Indicators Information Technology Innovations Machine Learning Methods Natural language processing News Physical Sciences Research and Analysis Methods Review Literature as Topic Search engines Search strategies Semantics Social Sciences Studies Support Vector Machine Technological change Technology Technology application Trends Germany
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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