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        "author": "Chia-Jung, Yang",
        "author_email": "jeroyang@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
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        "description": "# NCGOCR\n\n[![](https://img.shields.io/travis/jeroyang/ncgocr.svg)](https://travis-ci.org/jeroyang/ncgocr)\n[![](https://img.shields.io/pypi/v/ncgocr.svg)](https://pypi.python.org/pypi/ncgocr)\n\n\n- Named Concept Gene Ontology Concept Recognition\n- Automatic recognize Gene Ontology (GO) concepts from context.\n\n## Installation\n\nUsing 'pip' to install the Python module\n```bash\n$ pip install -U ncgocr\n```\n\n## Usage\n```python\nfrom ncgocr import Craft, GoData, NCGOCR, Corpus, evaluate\n\ncraft = Craft('data')\ncorpus = craft.get_corpus()\ngoldstandard = craft.get_goldstandard()\n\nprint('Loading GO...')\ngodata = GoData('data/craft-1.0/ontologies/GO.obo')\n\nprint('Initiating NCGOCR...')\nncgocr = NCGOCR(godata)\n\nprint('Training the model...')\nncgocr.train(corpus, goldstandard)\n\nprint('Loading the testing corpus...')\ncorpus_name = 'testing corpus'\ntesting_corpus = Corpus.from_dir('data/craft-1.0/articles/txt/', corpus_name)\n\nprint('predicting the results...')\nresult = ncgocr.process(testing_corpus)\n\nprint('Show the first 10 results...')\nprint(result.to_list()[:10])\n\nprint('Evaluate the results...')\nreport = evaluate(result, goldstandard, 'Using the training corpus as the testing corpus')\nprint(report)\n```\n\n\n## License\n* Free software: MIT license\n",
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