Software Open Access
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"
Online:
Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften"
Online:
| Name | Size | |
|---|---|---|
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Zeta-and-Company/pydistinto-v0.1.1.zip
md5:bded9512417f1bf83a209a6b87e6c50a |
9.8 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 227 | 176 |
| Downloads | 33 | 30 |
| Data volume | 303.2 MB | 293.3 MB |
| Unique views | 182 | 150 |
| Unique downloads | 31 | 28 |
Indexed in
- Publication date:
- August 24, 2021
- DOI:
-
- Keyword(s):
- Computational Literary Studies measure of distinctiveness SPP 2207
- Related identifiers:
- Supplement to
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International