https://github.com/the-strategy-unit/pxtextmining
Text classification of NHS patient feedback.
https://github.com/the-strategy-unit/pxtextmining
nhs-r-community patient-experience python scikit-learn
Last synced: about 1 year ago
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Text classification of NHS patient feedback.
- Host: GitHub
- URL: https://github.com/the-strategy-unit/pxtextmining
- Owner: The-Strategy-Unit
- License: mit
- Created: 2020-09-10T12:06:15.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2025-01-27T18:29:27.000Z (over 1 year ago)
- Last Synced: 2025-04-09T15:02:47.889Z (about 1 year ago)
- Topics: nhs-r-community, patient-experience, python, scikit-learn
- Language: Python
- Homepage: https://the-strategy-unit.github.io/pxtextmining/
- Size: 229 MB
- Stars: 29
- Watchers: 6
- Forks: 8
- Open Issues: 4
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# pxtextmining: Text Classification of Patient Experience feedback
## Project description
**pxtextmining** is a Python package for classifying patient feedback comments collected via the [NHS England Friends and Family Test](https://www.england.nhs.uk/fft/) (FFT). It is part of the [Patient Experience Qualitative Data Categorisation project](https://the-strategy-unit.github.io/PatientExperience-QDC/), funded by NHS England and hosted by Nottinghamshire Healthcare NHS Foundation Trust.
__We are working openly by [open-sourcing](https://github.com/The-Strategy-Unit/pxtextmining/blob/main/LICENSE) the analysis code and data where possible to promote replication, reproducibility and further developments. Pull requests are more than welcome.__
## Documentation and installation
Full documentation, including installation instructions, is available on our [documentation page](https://the-strategy-unit.github.io/pxtextmining/).