CHARTextract is a rule-based information extraction tool with the ability to quickly and easily refine rules on-the-fly.

Tool Documentation: https://lks-chart.github.io/CHARTextract-docs/

Tool Download: https://lks-chart.github.io/CHARTextract-docs/08-downloads/tool_download.html

• Install Python: https://www.python.org/downloads/
• Install NodeJS: https://nodejs.org/en/

• Install the required Python dependencies:

conda create -n [ENV_NAME] --file package-list.txt

• Install Node dependencies:

cd RegexNLP-node && npm install

• Build executable app:

./make_dist_py37.cmd

• Run application from executable file - you can access the app from the executable file or from the browser (localhost:3000):

./Release/win-unpacked/CHARTextract.exe

• Run application from node - you can access the app from the browser (localhost:3000):

cd RegexNLP-node && npm install && npm run start

Refer to the documentation for more details.

• We recommend you start off with the smoking status example tutorial.

• The rule refinement documentation provides information on the workflow.

From the RegexNLP-py folder, run the following: python -m pytest ..\RegexNLP-py_tests\ --cov=.

To generate a HTML report of the code coverage:python -m pytest ..\RegexNLP-py_tests\ --cov=. --cov-report=html and then open up htmlcov\index.html.

This project is licensed under the MIT License.