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Calculate jargon distance metric between texts

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Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

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Description: # Jargon Distance

Jason Portenoy 2018

Implement the jargon distance measure from <a href=”” target=”_blank”>Vilhena et al. “Finding Cultural Holes: How Structure and Culture Diverge in Networks of Scholarly Communication.” (2014)</a>

### Installation

Install from PyPI:

pip install jargon-distance

### Usage

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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