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Python package based on Gibson's framework (2003) for turn-taking in group conversation analysis.

Home Page: https://bdfsaraiva.github.io/parshift/

License: MIT License

Python 100.00%

parshift's Introduction

Tests Codecov Docs License: MIT PyPI Code style: black

ParShift

ParShift is a python package based on Gibson's framework for the analysis of conversational sequences.

The framework is established on the concept of participation shift, which refers to the shifting of individuals between the positions of speaker, target (addressee), and non-addressee (everyone else), in a group conversation.

Installation

From PyPI

pip install parshift

From source

Directly using pip:

pip install git+https://github.com/bdfsaraiva/parshift.git#egg=parshift

Or each step at a time:

git clone https://github.com/bdfsaraiva/parshift
cd parshift
pip install .

Getting Started

For an in-depth overview of the features of ParShift please check the documentation or follow along the provided example:

Name Link
Participation Shifts with ParShift Open In Colab

Features/Improvements

We're open to any idea or suggestion to further improve this package. If you have an idea or a feature request, just open an issue. ๐Ÿค—

For developers

After you cloned the repo head into the parshift base directory, cd into it, create a virtual environment and then install ParShift in development mode:

pip install -e .[dev]

Make sure that all tests pass and that there aren't any issues:

pytest

Now you are ready to start developing the project! Don't forget to add tests for every new change or feature!

Reference

If you use this software, please cite the following reference:

  • Ferreira-Saraiva, B.D., Matos-Carvalho, J.P., Fachada, N. & Pita, M. (2023). ParShift: a Python package to study order and differentiation in group conversations. SoftwareX, 24. 101554. https://doi.org/10.1016/j.softx.2023.101554

License

MIT License

parshift's People

Contributors

bdfsaraiva avatar nunofachada avatar

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