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HLasse authored Jan 15, 2023
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[![github actions docs](https://github.com/hlasse/textdescriptives/actions/workflows/documentation.yml/badge.svg)](https://hlasse.github.io/TextDescriptives/)
![github coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/hlasse/24ee79064ca9d49616cbc410da65cee2/raw/badge-textdescriptives-pytest-coverage.json)
[![arXiv](https://img.shields.io/badge/arXiv-2301.02057-b31b1b.svg)](https://arxiv.org/abs/2301.02057)
[![status](https://joss.theoj.org/papers/06447337ee61969b5a64de484199df24/status.svg)](https://joss.theoj.org/papers/06447337ee61969b5a64de484199df24)

A Python library for calculating a large variety of metrics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistics, readability metrics, and metrics related to dependency distance.

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@HLasse HLasse commented on 246365c Jan 15, 2023

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Coverage

Coverage Report
FileStmtsMissCoverMissing
/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/textdescriptives
   __init__.py50100% 
   extractors.py48492%66, 137, 140, 146
   load_components.py120100% 
   utils.py56788%70–74, 158, 165
/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/textdescriptives/components
   __init__.py60100% 
   coherence.py48198%29
   dependency_distance.py330100% 
   descriptive_stats.py53296%129, 146
   pos_proportions.py25292%41, 92
   quality.py2341892%175, 181, 200, 205, 244, 250, 271, 277, 414, 554, 559, 564, 572, 578, 585, 590, 603–607
   readability.py730100% 
   utils.py160100% 
TOTAL6093494% 

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