CATPro: Clinical Audio Text Processing

Tools

$ conda activate catpro

• qualitative

  • inter-rater agreement
  • annotation

• tools

  • dimensionality reduction
  • rename_files

• Audio

  • tutorial: ipynb that calls the different functions.

  • preprocessing

    • downsample

  • features

    • different embeddings
    • egemaps
    • CPP

  • quality control

    • dimensionality reduction across samples of the same speaker

  • individual_dashboards

• Text

  • tutorial: ipynb that calls the different functions.

  • utils

    • lemmatizer
    • stemmer
    • count_words

  • embeddings.py returns embeddings for a doc, specify model from huggingface

  • embeddings_sense_disambiguation.py looks for embeddings as used in context in a dataset.

    • specify: dataset, window length, N windows, model, layer, average_method

  • preprocess_lexicons.ipynb # for non concept tracker categories

  • features.py

    • lexicons: SEANCE, LGBTQ, ethnicities
    • emotions: valence and arousal + new model with 27 emotiones
    • lexical diversity
    • concreteness
    • incoherence
    • disorganization
    • readability
    • POS
    • colloquial

  • network co-occurence maps alternative to word clouds

    • optional: supervised, which does within each level of y label values
    • remove vague words that attract many others
    • default: up to eg 250 words can fit

• Plot

  • split_strings

• Data catpro/data/

  • lexicons/
  • rmhd
  • new_york_times
  • jam_study

TODOs

[] install cookiecutter: https://cookiecutter-hypermodern-python.readthedocs.io/en/2020.6.15/guide.html or simpler: https://cookiecutter-poetry.readthedocs.io/en/latest/tutorial.html