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        "author": "Ruben Dorado",
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        "description": "news-inspector\n===========================================\n\n[![MIT License](https://badgen.net/badge/license/MIT/)](http://opensource.org/licenses/MIT)\n[![Scrutinizer Quality Score](https://scrutinizer-ci.com/g/rdorado/news-inspector/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/rdorado/site-analyzer/)\n[![Build Status](https://travis-ci.com/rdorado/news-inspector.svg?branch=master)](https://travis-ci.com/rdorado/news-inspector)\n\nNews-inspector is a free software library for analyzing and acquiring information from news. It features various NLP and machine learning tasks that can be performed on text news articles:\n\n* classification\n* named entity recognition\n* knowledge-based article search\n\nAll the methods can be easily configured and trained/retrained. Once trained, they can be loaded and used on new articles.\n\nRequirements\n===========================================\n\n* Python >=3.4\n* scikit-learn>=0.17.1\n* sklearn-crfsuite>=0.3\n* nltk>=3.24\n\nInstallation\n===========================================\n\n```python\npip install news-inspector\n```\n\nQuick start\n===========================================\n\nTrain the model:\n\n```python \nfrom news_inspector import GenericClassifier\ntrain_model(GenericClassifier, \"myconfig.xml\", \"myclassifier.model\");\n```\n\nLoad and use the model:\n\n```python\nfrom news_inspector import load_model\n\nmodel = load_model(\"myclassifier.model\");\nresult = model.classify(text);\n```\n\n\nDocumentation\n===========================================\n\nRead the docs at https://news-inspector.readthedocs.io/en/latest/.\n\n\n",
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