{
    "info": {
        "author": "Yukino Ikegami",
        "author_email": "yknikgm@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Japanese",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Text Processing :: Linguistic"
        ],
        "description": "Zunda Python\n===================\n\n|pyversion| |version| |license|\n\nZunda: Japanese Enhanced Modality Analyzer client for Python.\n\nZunda is an extended modality analyzer for Japanese.\nFor details about Zunda, See https://jmizuno.github.io/zunda/ (Written in Japanese)\n\nthis module requires installing Zunda, which is available at (https://github.com/jmizuno/zunda/releases), CaboCha (https://taku910.github.io/cabocha/), and MeCab (http://taku910.github.io/mecab/).\n\n\nContributions are welcome!\n\n\nInstallation\n==============\n\n::\n\n # Install Zunda\n wget https://github.com/jmizuno/zunda/archive/2.0b4.tar.gz\n tar xzf zunda-2.0b4.tar.gz\n rm zunda-2.0b4.tar.gz\n cd zunda-2.0b4\n ./configure\n make\n sudo make install\n cd ../\n rm -rf zunda-2.0b4\n\n # Install zunda-python\n pip install zunda-python\n\nExample\n===========\n\n.. code:: python\n\n    import zunda\n    parser = zunda.Parser()\n    parser.parse('\u82b1\u5b50\u306f\u592a\u90ce\u3092\u98df\u4e8b\u306b\u8a98\u3063\u305f\u88d5\u5b50\u304c\u5acc\u3044\u3060\u3063\u305f')\n    # => [{'assumptional': '0',\n      'authenticity': '\u6210\u7acb',\n      'chunks': [{'func': '\u306b',\n        'head': '\u98df\u4e8b',\n        'link_from': [],\n        'link_to': 3,\n        'score': 1.883877,\n        'words': [{'feature': '\u540d\u8a5e,\u30b5\u5909\u63a5\u7d9a,*,*,*,*,\u98df\u4e8b,\u30b7\u30e7\u30af\u30b8,\u30b7\u30e7\u30af\u30b8',\n          'funcexp': 'O',\n          'surface': '\u98df\u4e8b'},\n         {'feature': '\u52a9\u8a5e,\u683c\u52a9\u8a5e,\u4e00\u822c,*,*,*,\u306b,\u30cb,\u30cb',\n          'funcexp': 'B:\u5224\u65ad',\n          'surface': '\u306b'}]}],\n      'sentiment': '0',\n      'source': '\u7b46\u8005',\n      'tense': '\u975e\u672a\u6765',\n      'type': '\u53d9\u8ff0',\n      'word': '\u98df\u4e8b',\n      'words': '\u98df\u4e8b\u306b'},\n     {'assumptional': '0',\n      'authenticity': '\u6210\u7acb',\n      'chunks': [{'func': '\u3092',\n        'head': '\u592a\u90ce',\n        'link_from': [],\n        'link_to': 3,\n        'score': 1.640671,\n        'words': [{'feature': '\u540d\u8a5e,\u56fa\u6709\u540d\u8a5e,\u5730\u57df,\u4e00\u822c,*,*,\u592a\u90ce,\u30bf\u30ed\u30a6,\u30bf\u30ed\u30fc',\n          'funcexp': 'O',\n          'surface': '\u592a\u90ce'},\n         {'feature': '\u52a9\u8a5e,\u683c\u52a9\u8a5e,\u4e00\u822c,*,*,*,\u3092,\u30f2,\u30f2', 'funcexp': 'O', 'surface': '\u3092'}]},\n       {'func': '\u306b',\n        'head': '\u98df\u4e8b',\n        'link_from': [],\n        'link_to': 3,\n        'score': 1.883877,\n        'words': [{'feature': '\u540d\u8a5e,\u30b5\u5909\u63a5\u7d9a,*,*,*,*,\u98df\u4e8b,\u30b7\u30e7\u30af\u30b8,\u30b7\u30e7\u30af\u30b8',\n          'funcexp': 'O',\n          'surface': '\u98df\u4e8b'},\n         {'feature': '\u52a9\u8a5e,\u683c\u52a9\u8a5e,\u4e00\u822c,*,*,*,\u306b,\u30cb,\u30cb', 'funcexp': 'B:\u5224\u65ad', 'surface': '\u306b'}]},\n       {'func': '\u305f',\n        'head': '\u8a98\u3063',\n        'link_from': [1, 2],\n        'link_to': 4,\n        'score': 1.565227,\n        'words': [{'feature': '\u52d5\u8a5e,\u81ea\u7acb,*,*,\u4e94\u6bb5\u30fb\u30ef\u884c\u4fc3\u97f3\u4fbf,\u9023\u7528\u30bf\u63a5\u7d9a,\u8a98\u3046,\u30b5\u30bd\u30c3,\u30b5\u30bd\u30c3',\n          'funcexp': 'O',\n          'surface': '\u8a98\u3063'},\n         {'feature': '\u52a9\u52d5\u8a5e,*,*,*,\u7279\u6b8a\u30fb\u30bf,\u57fa\u672c\u5f62,\u305f,\u30bf,\u30bf',\n          'funcexp': 'B:\u5b8c\u4e86',\n          'surface': '\u305f'}]}],\n      'sentiment': '0',\n      'source': '\u7b46\u8005',\n      'tense': '\u975e\u672a\u6765',\n      'type': '\u53d9\u8ff0',\n      'word': '\u8a98\u3063',\n      'words': '\u592a\u90ce\u3092\u98df\u4e8b\u306b\u8a98\u3063\u305f'},\n     {'assumptional': '0',\n      'authenticity': '\u6210\u7acb',\n      'chunks': [{'func': '\u306f',\n        'head': '\u82b1\u5b50',\n        'link_from': [],\n        'link_to': 5,\n        'score': -1.81792,\n        'words': [{'feature': '\u540d\u8a5e,\u56fa\u6709\u540d\u8a5e,\u4eba\u540d,\u540d,*,*,\u82b1\u5b50,\u30cf\u30ca\u30b3,\u30cf\u30ca\u30b3',\n          'funcexp': 'O',\n          'surface': '\u82b1\u5b50'},\n         {'feature': '\u52a9\u8a5e,\u4fc2\u52a9\u8a5e,*,*,*,*,\u306f,\u30cf,\u30ef', 'funcexp': 'O', 'surface': '\u306f'}]},\n       {'func': '\u304c',\n        'head': '\u88d5\u5b50',\n        'link_from': [3],\n        'link_to': 5,\n        'score': -1.81792,\n        'words': [{'feature': '\u540d\u8a5e,\u56fa\u6709\u540d\u8a5e,\u4eba\u540d,\u540d,*,*,\u88d5\u5b50,\u30e6\u30a6\u30b3,\u30e6\u30fc\u30b3',\n          'funcexp': 'O',\n          'surface': '\u88d5\u5b50'},\n         {'feature': '\u52a9\u8a5e,\u683c\u52a9\u8a5e,\u4e00\u822c,*,*,*,\u304c,\u30ac,\u30ac', 'funcexp': 'O', 'surface': '\u304c'}]},\n       {'func': '\u305f',\n        'head': '\u5acc\u3044',\n        'link_from': [0, 4],\n        'link_to': -1,\n        'score': 0.0,\n        'words': [{'feature': '\u540d\u8a5e,\u5f62\u5bb9\u52d5\u8a5e\u8a9e\u5e79,*,*,*,*,\u5acc\u3044,\u30ad\u30e9\u30a4,\u30ad\u30e9\u30a4',\n          'funcexp': 'O',\n          'surface': '\u5acc\u3044'},\n         {'feature': '\u52a9\u52d5\u8a5e,*,*,*,\u7279\u6b8a\u30fb\u30c0,\u9023\u7528\u30bf\u63a5\u7d9a,\u3060,\u30c0\u30c3,\u30c0\u30c3',\n          'funcexp': 'B:\u5224\u65ad',\n          'surface': '\u3060\u3063'},\n         {'feature': '\u52a9\u52d5\u8a5e,*,*,*,\u7279\u6b8a\u30fb\u30bf,\u57fa\u672c\u5f62,\u305f,\u30bf,\u30bf',\n          'funcexp': 'B:\u5b8c\u4e86',\n          'surface': '\u305f'}]}],\n      'sentiment': '0',\n      'source': '\u7b46\u8005',\n      'tense': '\u975e\u672a\u6765',\n      'type': '\u53d9\u8ff0',\n      'word': '\u5acc\u3044',\n      'words': '\u82b1\u5b50\u306f\u88d5\u5b50\u304c\u5acc\u3044\u3060\u3063\u305f'}]\n\nLICENSE\n=========\n\nMIT License\n\n\nCopyright\n=============\n\nZunda Python\n(c) 2019- Yukino Ikegami. All Rights Reserved.\n\nZunda (Original version)\n(c) 2013- @jmizuno\n\nACKNOWLEDGEMENT\n=================\n\nThis module uses Zunda.\nI thank to @jmizuno and Tohoku University Inui-Okazaki Lab.\n\n\n.. |pyversion| image:: https://img.shields.io/pypi/pyversions/zunda-python.svg\n\n.. |version| image:: https://img.shields.io/pypi/v/zunda-python.svg\n    :target: http://pypi.python.org/pypi/zunda-python/\n    :alt: latest version\n\n.. |license| image:: https://img.shields.io/pypi/l/zunda-python.svg\n    :target: http://pypi.python.org/pypi/zunda-python/\n    :alt: license\n\n\nCHANGES\n=======\n\n0.1.2 (2019-02-24)\n-------------------------\n\n- First release.",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/ikegami-yukino/zunda-python",
        "keywords": "modality analyzer",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "zunda-python",
        "package_url": "https://pypi.org/project/zunda-python/",
        "platform": "POSIX",
        "project_url": "https://pypi.org/project/zunda-python/",
        "project_urls": {
            "Homepage": "https://github.com/ikegami-yukino/zunda-python"
        },
        "release_url": "https://pypi.org/project/zunda-python/0.1.2/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Zunda: Japanese Enhanced Modality Analyzer client for Python",
        "version": "0.1.2"
    },
    "last_serial": 4858675,
    "releases": {
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "cf78020fb5f4f13f85e1b9aaf69e09b4",
                    "sha256": "eafc6887306fd1c49671d3c69720785655c9d3e4a12e4292aa5adcc253db26d4"
                },
                "downloads": -1,
                "filename": "zunda-python-0.1.2.tar.gz",
                "has_sig": false,
                "md5_digest": "cf78020fb5f4f13f85e1b9aaf69e09b4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4608,
                "upload_time": "2019-02-23T16:26:04",
                "url": "https://files.pythonhosted.org/packages/d1/3a/68bb491597cb938e13c7bfdead7ae06b71bf8c8a7078eaad4e44dc314003/zunda-python-0.1.2.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "cf78020fb5f4f13f85e1b9aaf69e09b4",
                "sha256": "eafc6887306fd1c49671d3c69720785655c9d3e4a12e4292aa5adcc253db26d4"
            },
            "downloads": -1,
            "filename": "zunda-python-0.1.2.tar.gz",
            "has_sig": false,
            "md5_digest": "cf78020fb5f4f13f85e1b9aaf69e09b4",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 4608,
            "upload_time": "2019-02-23T16:26:04",
            "url": "https://files.pythonhosted.org/packages/d1/3a/68bb491597cb938e13c7bfdead7ae06b71bf8c8a7078eaad4e44dc314003/zunda-python-0.1.2.tar.gz"
        }
    ]
}