Python package based on Gibson's framework (2003) for turn-taking in group conversation analysis.
Project description
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 |
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. 🤗
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file parshift-1.0.1.tar.gz
.
File metadata
- Download URL: parshift-1.0.1.tar.gz
- Upload date:
- Size: 14.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6407253594c1cacf34f10be0783c1e25e55d03fbe50a92adb2e67083245ba7ad |
|
MD5 | 11684366cad5ace6f48469ec68a37ca5 |
|
BLAKE2b-256 | 28383330fce72bd07feb67753ff9edc25a319e0911db6a3c036a99d92b44dec6 |
File details
Details for the file parshift-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: parshift-1.0.1-py3-none-any.whl
- Upload date:
- Size: 13.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 435bf5ef7b871d175b83012c08ccdca436a36506f732d143629f5c13faab1932 |
|
MD5 | 98b592d7ec88acca9b700caa9ac92d44 |
|
BLAKE2b-256 | f8320c8b58e234d4af1ac8f2343b0b518795000742967aef87aa3d5a4680cfa7 |