Poster Open Access
Implementation framework of measures of distinctiveness
Du, Keli;
Dudar, Julia;
Rok, Cora;
Schöch, Christof
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"
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Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften"
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| Data volume | 9.4 MB | 9.4 MB |
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- Publication date:
- March 18, 2021
- DOI:
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- Keyword(s):
- Computational Literary Studies measure of distinctiveness Implementation framework SPP 2207
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International