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pydistinto - a Python implementation of different measures of distinctiveness for contrastive text analysis

Du, Keli; Dudar, Julia; Schöch, Christof

To facilitate the use of relevant measures that can be used for contrastive text analysis, we are developing a tool written in Python called pydistinto as part of the Zeta and Company project. The goal of our project is to achieve a deeper understanding of the different measures of distinctiveness and to propose improvements for their implementation and use. For this purpose, we created a conceptual framework of different measures of distinctiveness. Based on the framework and Codes from pyzeta, pydistinto has been developed.

DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies"

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Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften"

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