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updated deploy for new documentation site
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.github/workflows/deploy.yml

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on:
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push:
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branches:
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- core-seperation # ou master, dependendo da sua branch principal
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- master
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jobs:
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build-and-deploy:

.github/workflows/pylint.yml

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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.8", "3.9", "3.10"]
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python-version: ["3.10"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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pip install pylint
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- name: Analysing the code with pylint
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run: |
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pylint $(git ls-files '*.py')
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pylint $(git ls-files '*.py') --fail-under=8.0

README.md

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# YAKE! (Yet Another Keyword Extractor)
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[![ECIR'18 Best Short Paper](https://img.shields.io/badge/ECIR'18-Best%20Short%20Paper-brightgreen.svg)](http://ecir2018.org) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tiagolv/yakerf/blob/gh-pages/1YAKE.ipynb)
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[![ECIR'18 Best Short Paper](https://img.shields.io/badge/ECIR'18-Best%20Short%20Paper-brightgreen.svg)](http://ecir2018.org) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tiagolv/yakerf/blob/gh-pages/1YAKE.ipynb) [![PyPI Downloads](https://static.pepy.tech/badge/yake)](https://pepy.tech/projects/yake)
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YAKE! is a lightweight unsupervised automatic keyword extraction method that uses text statistical features to select the most important keywords from a document. It requires no training, external corpus, or dictionaries, and works across multiple languages and domains regardless of text size.
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