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docs: add arxiv badge to readme
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HLasse committed Jan 6, 2023
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[![github actions pytest](https://github.com/hlasse/textdescriptives/actions/workflows/tests.yml/badge.svg)](https://github.com/hlasse/textdescriptives/actions)
[![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)
[![DOI](https://zenodo.org/badge/236710916.svg)](https://zenodo.org/badge/latestdoi/236710916)

[![arXiv](https://img.shields.io/badge/arXiv-2301.02057-b31b1b.svg)](https://arxiv.org/abs/2301.02057)

A Python library for calculating a large variety of statistics 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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| 😎 **[Tutorials]** | Detailed tutorials on how to make the most of TextDescriptives |
| 📰 **[News and changelog]** | New additions, changes and version history. |
| 🎛 **[API References]** | The detailed reference for TextDescriptive's API. Including function documentation |
| 📄 **[Paper]** | The preprint of the textdescriptives paper. |
| 📄 **[Paper]** | The preprint of the TextDescriptives paper. |

[Paper]: https://arxiv.org/abs/2301.02057
[Tutorials]: https://hlasse.github.io/TextDescriptives/tutorial.html
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