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 month ago
JSON representation

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 (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-02-15T16:13:59.000Z (11 months ago)
• Last Synced: 2024-09-16T06:52:02.428Z (3 months ago)
• Topics: nhs-r-community, patient-experience, python, scikit-learn
• Language: Python
• Homepage: https://the-strategy-unit.github.io/pxtextmining/
• Size: 230 MB
• Stars: 28
• Watchers: 8
• Forks: 8
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

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/).