{ "info": { "author": "theblackcat102,fxsjy,ldkrsi", "author_email": "zhirui09400@gmail.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: Chinese (Traditional)", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Text Processing", "Topic :: Text Processing :: Indexing", "Topic :: Text Processing :: Linguistic" ], "description": "jieba\n=====\n\n\u201c\u7ed3\u5df4\u201d\u4e2d\u6587\u5206\u8bcd\uff1a\u505a\u6700\u597d\u7684 Python \u4e2d\u6587\u5206\u8bcd\u7ec4\u4ef6\n\n\"Jieba\" (Chinese for \"to stutter\") Chinese text segmentation: built to\nbe the best Python Chinese word segmentation module.\n\n\u5b8c\u6574\u6587\u6863\u89c1 ``README.md``\n\nGitHub: https://github.com/fxsjy/jieba\n\n\u7279\u70b9\n====\n\n- \u652f\u6301\u4e09\u79cd\u5206\u8bcd\u6a21\u5f0f\uff1a\n\n - \u7cbe\u786e\u6a21\u5f0f\uff0c\u8bd5\u56fe\u5c06\u53e5\u5b50\u6700\u7cbe\u786e\u5730\u5207\u5f00\uff0c\u9002\u5408\u6587\u672c\u5206\u6790\uff1b\n - \u5168\u6a21\u5f0f\uff0c\u628a\u53e5\u5b50\u4e2d\u6240\u6709\u7684\u53ef\u4ee5\u6210\u8bcd\u7684\u8bcd\u8bed\u90fd\u626b\u63cf\u51fa\u6765,\n \u901f\u5ea6\u975e\u5e38\u5feb\uff0c\u4f46\u662f\u4e0d\u80fd\u89e3\u51b3\u6b67\u4e49\uff1b\n - \u641c\u7d22\u5f15\u64ce\u6a21\u5f0f\uff0c\u5728\u7cbe\u786e\u6a21\u5f0f\u7684\u57fa\u7840\u4e0a\uff0c\u5bf9\u957f\u8bcd\u518d\u6b21\u5207\u5206\uff0c\u63d0\u9ad8\u53ec\u56de\u7387\uff0c\u9002\u5408\u7528\u4e8e\u641c\u7d22\u5f15\u64ce\u5206\u8bcd\u3002\n\n- \u652f\u6301\u7e41\u4f53\u5206\u8bcd\n- \u652f\u6301\u81ea\u5b9a\u4e49\u8bcd\u5178\n- MIT \u6388\u6743\u534f\u8bae\n\n\u5728\u7ebf\u6f14\u793a\uff1a http://jiebademo.ap01.aws.af.cm/\n\n\u5b89\u88c5\u8bf4\u660e\n========\n\n\u4ee3\u7801\u5bf9 Python 2/3 \u5747\u517c\u5bb9\n\n- \u5168\u81ea\u52a8\u5b89\u88c5\uff1a ``easy_install jieba`` \u6216\u8005 ``pip install jieba`` / ``pip3 install jieba``\n- \u534a\u81ea\u52a8\u5b89\u88c5\uff1a\u5148\u4e0b\u8f7d https://pypi.python.org/pypi/jieba/ \uff0c\u89e3\u538b\u540e\u8fd0\u884c\n python setup.py install\n- \u624b\u52a8\u5b89\u88c5\uff1a\u5c06 jieba \u76ee\u5f55\u653e\u7f6e\u4e8e\u5f53\u524d\u76ee\u5f55\u6216\u8005 site-packages \u76ee\u5f55\n- \u901a\u8fc7 ``import jieba`` \u6765\u5f15\u7528", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/theblackcat102/jieba-tw", "keywords": "NLP,tokenizing,Chinese word segementation", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "jieba-hant", "package_url": "https://pypi.org/project/jieba-hant/", "platform": "", "project_url": "https://pypi.org/project/jieba-hant/", "project_urls": { "Homepage": "https://github.com/theblackcat102/jieba-tw" }, "release_url": "https://pypi.org/project/jieba-hant/0.39.1/", "requires_dist": null, "requires_python": "", "summary": "Traditional Chinese Words Segementation Utilities", "version": "0.39.1" }, "last_serial": 4828147, "releases": { "0.39.1": [ { "comment_text": "", "digests": { "md5": "dd3ca3c38fe232150e37d28eae1173fe", "sha256": "d6d58a0fbccc3f77627c4cf29911ac8bbee359d11cde7b210a32f51ecb993ecf" }, "downloads": -1, "filename": "jieba_hant-0.39.1.tar.gz", "has_sig": false, "md5_digest": "dd3ca3c38fe232150e37d28eae1173fe", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6504815, "upload_time": "2019-02-16T07:50:01", "url": "https://files.pythonhosted.org/packages/26/47/a7d2b8a749f93282e0c0a0d664575ba7cae35e63b19ecd3548885ecf88f7/jieba_hant-0.39.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "dd3ca3c38fe232150e37d28eae1173fe", "sha256": "d6d58a0fbccc3f77627c4cf29911ac8bbee359d11cde7b210a32f51ecb993ecf" }, "downloads": -1, "filename": "jieba_hant-0.39.1.tar.gz", "has_sig": false, "md5_digest": "dd3ca3c38fe232150e37d28eae1173fe", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6504815, "upload_time": "2019-02-16T07:50:01", "url": "https://files.pythonhosted.org/packages/26/47/a7d2b8a749f93282e0c0a0d664575ba7cae35e63b19ecd3548885ecf88f7/jieba_hant-0.39.1.tar.gz" } ] }