We review some recent works of our research lab that have applied novel text mining techniques to the issue of research impact assessment. The techniques are Semantic Hypergraphs and Lexicon-based Named Entity Recognition. By using these techniques, we address two distinct and open issues in research impact assessment: the epistemological and logical status of impact assessment, and the construction of quantitative indicators. © 2021 18th International Conference on Scientometrics and Informetrics, ISSI 2021. All rights reserved.

How to do research on the societal impact of research? Studies from a semantic perspective / Bonaccorsi, Andrea; Melluso, Nicola; Chiarello, Filippo; Fantoni, Gualtiero. - 18th International Conference on Scientometrics and Informetrics, ISSI 2021, (2021), pp. 157-167. (18th International Conference on Scientometrics and Informetrics, ISSI 2021, Leuven, 12 July 2021 - 15 July 2021).

How to do research on the societal impact of research? Studies from a semantic perspective

nicola melluso;
2021

Abstract

We review some recent works of our research lab that have applied novel text mining techniques to the issue of research impact assessment. The techniques are Semantic Hypergraphs and Lexicon-based Named Entity Recognition. By using these techniques, we address two distinct and open issues in research impact assessment: the epistemological and logical status of impact assessment, and the construction of quantitative indicators. © 2021 18th International Conference on Scientometrics and Informetrics, ISSI 2021. All rights reserved.
2021
9789080328228
Hypergraph; Impact assessments; Lexicon-based; Named entity recognition; Quantitative indicators; Research impacts; Societal impacts; Text mining techniques
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/248994
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