Calculate jargon distance metric between texts
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Description: # Jargon Distance
Jason Portenoy 2018
Implement the jargon distance measure from <a href=”https://doi.org/10.15195/v1.a15” target=”_blank”>Vilhena et al. “Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication.” (2014)</a>
Install from PyPI:
pip install jargon-distance
Initialize a JargonDistance instance with a term_counts dict and (optionally) a group_map dict. term_counts is a mapping of document -> term counter (Counter object).
` from jargon_distance import JargonDistance j = JargonDistance(term_counts) `
Then, calculate the jargon distances:
` j.calculate_jargon_distance() j.write_to_file('jargon_distance.csv') `
The jargon_distance.analysis module can be used to visualize the jargon distance calculations. For example, below is a dendrogram showing the jargon distances between the text (unigrams) of different works of literature (from the [demo.ipynb](demo.ipynb) notebook).
![Dendrogram showing the jargon distance between different works of literature.](literature_dendrogram.png)
See [demo.ipynb](demo.ipynb) for a more detailed example.
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