mirror of
https://github.com/fxsjy/jieba.git
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81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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from distutils.core import setup
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LONGDOC = """
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jieba
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=====
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“结巴”中文分词：做最好的 Python 中文分词组件
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"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to
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be the best Python Chinese word segmentation module.
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完整文档见 ``README.md``
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GitHub: https://github.com/fxsjy/jieba/tree/jieba3k
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特点
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====
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- 支持三种分词模式：
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- 精确模式，试图将句子最精确地切开，适合文本分析；
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- 全模式，把句子中所有的可以成词的词语都扫描出来,
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速度非常快，但是不能解决歧义；
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- 搜索引擎模式，在精确模式的基础上，对长词再次切分，提高召回率，适合用于搜索引擎分词。
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- 支持繁体分词
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- 支持自定义词典
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在线演示： http://jiebademo.ap01.aws.af.cm/
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安装说明
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========
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Python 2.x
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----------
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见 https://pypi.python.org/pypi/jieba/
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Python 3.x
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----------
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- 目前 master 分支是只支持 Python 2.x 的
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- Python 3.x 版本的分支也已经基本可用：
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https://github.com/fxsjy/jieba/tree/jieba3k
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.. code:: bash
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git clone https://github.com/fxsjy/jieba.git
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git checkout jieba3k
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python setup.py install
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- 或使用pip3安装： pip3 install jieba3k
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"""
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setup(name='jieba3k',
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version='0.35.1',
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description='Chinese Words Segementation Utilities',
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long_description=LONGDOC,
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author='Sun, Junyi',
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author_email='ccnusjy@gmail.com',
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url='https://github.com/fxsjy/jieba/tree/jieba3k',
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license="MIT",
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classifiers=[
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'Intended Audience :: Developers',
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'License :: OSI Approved :: MIT License',
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'Operating System :: OS Independent',
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'Natural Language :: Chinese (Simplified)',
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'Natural Language :: Chinese (Traditional)',
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'Programming Language :: Python',
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'Programming Language :: Python :: 3',
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'Topic :: Text Processing',
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'Topic :: Text Processing :: Indexing',
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'Topic :: Text Processing :: Linguistic',
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],
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keywords='NLP,tokenizing,Chinese word segementation',
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packages=['jieba'],
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package_dir={'jieba':'jieba'},
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package_data={'jieba':['*.*','finalseg/*','analyse/*','posseg/*']}
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)
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