https://github.com/stencila/libdh

A library of Stencila-compatible functions for the Digital Humanities.
https://github.com/stencila/libdh

Last synced: 11 months ago
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A library of Stencila-compatible functions for the Digital Humanities.

• Host: GitHub
• URL: https://github.com/stencila/libdh
• Owner: stencila
• License: apache-2.0
• Created: 2018-03-07T01:19:30.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-07-16T18:35:59.000Z (almost 8 years ago)
• Last Synced: 2025-03-14T02:46:35.590Z (about 1 year ago)
• Language: Python
• Homepage:
• Size: 48.8 KB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# `libdh`

A library of [Stencila](http://stenci.la)-compatible functions for the Digital Humanities.

This library includes functions useful for Digital Humanities data analysis such as:

  - Word Cloud

    - This function generates word clouds for any given group of words. 

  - Collocation (words commonly appearing near each other)

    - Word sets, grouped by cell or by sentence are then combined to create collocations. Words that often appear near each         other will be returned

  - Concordance (the contexts of a given word or set of words)

    - This function returns instances of the sentence or cell that the defined word appears in.

  - N-grams (common two-, three-, etc.- word phrases)

    - Similar to the word cloud function, the n-gram function generates word-cloud images with phrases as opposed to words.

  - Entity recognition (identifying names, places, time periods, etc.)

    - This function is more of a sorting or formatting function. It takes in a list of things and then returns what type of         things they are (i.e. people, places, times, etc).

  - and more.

  

 You are welcome to contribute to the development. 

 

A library of [Stencila](http://stenci.la)-compatible functions for the Digital Humanities. These functions are mostly text-based, charting and categorizing semantic information.

## Testing

The `tests` folder has test files for each function. To run these tests install the [pytest package](https://docs.pytest.org/en/latest/) e.g. `pip install pytest` and then, in the top level folder, run:

```bash

python -m pytest

```