Behavioural Research support tools in Python including Grounded Theory Dictionary Generator.
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README.md

QRMine

QRMine

QRMine is a suite of qualitative research (QR) support tools in Python using NLP. Currently QRMine include:

  • gtdict : Generates a coding dictionary based on available data (Grounded Theory)
  • nnet : Evaluate the accuracy of an ANN with the given set of IV and one DV (Theory Building)
  • sentiment : Create the CNN model for sentiment analysis.
  • run_sentiment : Use the CNN model created by sentiment module for prediction.

* cocite: Find the cocitation frequency for biomedical literature using NCBI's EUtils. And More to come. (work in progress)

How to Install:

checkout this repo and

python setup.py sdist

OR

python setup.py bdist

OR 

python setup.py bdist_wheel

How to use:

Read

Using Docker

TBD

Author

Bell Eapen (McMaster U)

Citation

Please cite QRMine in your publications if it helped your research. Here is an example BibTeX entry:


@misc{eapenbr2016,
  title={QRMine -Qualitative Research Tools in Python.},
  author={Eapen, Bell Raj and contributors},
  year={2016},
  publisher={GitHub},
  journal = {GitHub repository},
  howpublished={\url{https://github.com/dermatologist/nlp-qrmine}}
}