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Other literature type . 2021
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Conference object . 2021
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Implementation framework of measures of distinctiveness

Authors: Du, Keli; Dudar, Julia; Rok, Cora; Schöch, Christof;

Implementation framework of measures of distinctiveness

Abstract

Statistical measures of distinctiveness allow researchers to extract features (e.g. words or parts-of-speech) that are characteristic or "distinctive" for a given group of texts compared to another group of texts. In order to reach a deeper understanding of measures of distinctiveness, we first analyze a significant range of existing measures of distinctiveness to determine and compare their statistical properties and integrate them into this joint conceptual model. DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies" Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften" Online: https://gepris.dfg.de/gepris/projekt/424211690 https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Zeta_and_Company/ https://zeta-project.eu/de/

Keywords

measure of distinctiveness, Implementation framework, Computational Literary Studies, SPP 2207

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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