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pydistinto

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

https://github.com/zeta-and-company/pydistinto

Science Score: 67.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 4 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

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

Basic Info
  • Host: GitHub
  • Owner: Zeta-and-Company
  • License: unlicense
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 10.5 MB
Statistics
  • Stars: 10
  • Watchers: 2
  • Forks: 7
  • Open Issues: 6
  • Releases: 3
Created almost 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

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

DOI

pydistinto is a further development of pyzeta

What is the purpose?

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.

Getting help

  • The data folder contains some examples of what input pydistinto needs and the working_dir folder contains what output it produces
  • The howto.md file contains a brief tutorial of sorts for running analyses with pydistinto.

Requirements and installation

  • Requirements: Python 3 with pandas, numpy, sklearn, pygal, spacy

Citation

Du, K., Dudar, J., & Schöch, C. (2021). pydistinto - a Python implementation of different measures of distinctiveness for contrastive text analysis (Version 0.1.1) [Computer software]. https://doi.org/10.5281/zenodo.5245096

Owner

  • Name: Zeta and Company
  • Login: Zeta-and-Company
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.0.1
message: "If you use this software, please cite it as below."
authors:
  - family-names: Du
    given-names: Keli
    orcid: https://orcid.org/0000-0001-7800-0682
  - family-names: Dudar
    given-names: Julia
    orcid: https://orcid.org/0000-0001-5545-9562
  - family-names: Schöch
    given-names: Christof
    orcid: https://orcid.org/0000-0002-4557-2753
title: "pydistinto - a Python implementation of different measures of distinctiveness for contrastive text analysis"
version: 0.1.1
doi: 10.5281/zenodo.5245096
date-released: 2021-08-24

GitHub Events

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