old_contents: from setuptools import setup
  
  def readme():
      with open('README.md') as f:
          return f.read()
  
  setup(name='shorttext',
        version="0.1.3",
        description="Short Text Categorization",
        long_description="Supervised learning algorithms for short text categorization using embedded word vectors such as Word2Vec, or immediate feature vectors using topic models",
        classifiers=[
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Natural Language :: English",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Programming Language :: Python :: 2.7",
            "License :: OSI Approved :: MIT License",
        ],
        keywords="short text natural language processing text mining",
        url="https://github.com/stephenhky/PyShortTextCategorization",
        author="Kwan-Yuet Ho",
        author_email="stephenhky@yahoo.com.hk",
        license='MIT',
        packages=['shorttext',
                  'shorttext.utils',
                  'shorttext.classifiers',
                  'shorttext.classifiers.embed',
                  'shorttext.classifiers.embed.autoencode',
                  'shorttext.classifiers.embed.nnlib',
                  'shorttext.classifiers.embed.sumvec',
                  'shorttext.classifiers.bow',
                  'shorttext.classifiers.bow.topic',
                  'shorttext.data',],
        package_dir={'shorttext': 'shorttext'},
        package_data={'shorttext': ['data/*.csv', 'data/*.zip']},
        setup_requires=['numpy', 'theano'],
        install_requires=[
            'numpy', 'scipy', 'scikit-learn', 'theano', 'keras', 'nltk', 'gensim', 'pandas',
        ],
        scripts=['bin/ShortTextCategorizer',
                 'bin/ShortTextCategorizerConsole'],
        include_package_data=True,
        zip_safe=False)
  
new_contents: from setuptools import setup
  
  def readme():
      with open('README.md') as f:
          return f.read()
  
  setup(name='shorttext',
        version="0.1.3",
        description="Short Text Categorization",
        long_description="Supervised learning algorithms for short text categorization using embedded word vectors such as Word2Vec, or immediate feature vectors using topic models",
        classifiers=[
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Natural Language :: English",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Programming Language :: Python :: 2.7",
            "License :: OSI Approved :: MIT License",
        ],
        keywords="short text natural language processing text mining",
        url="https://github.com/stephenhky/PyShortTextCategorization",
        author="Kwan-Yuet Ho",
        author_email="stephenhky@yahoo.com.hk",
        license='MIT',
        packages=['shorttext',
                  'shorttext.utils',
                  'shorttext.classifiers',
                  'shorttext.classifiers.embed',
                  'shorttext.classifiers.embed.nnlib',
                  'shorttext.classifiers.embed.sumvec',
                  'shorttext.classifiers.bow',
                  'shorttext.classifiers.bow.topic',
                  'shorttext.data',],
        package_dir={'shorttext': 'shorttext'},
        package_data={'shorttext': ['data/*.csv', 'data/*.zip']},
        setup_requires=['numpy', 'theano'],
        install_requires=[
            'numpy', 'scipy', 'scikit-learn', 'theano', 'keras', 'nltk', 'gensim', 'pandas',
        ],
        scripts=['bin/ShortTextCategorizer',
                 'bin/ShortTextCategorizerConsole'],
        include_package_data=True,
        zip_safe=False)
  
subject: package delete