Implementation framework of measures of distinctiveness

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/