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        "author": "Christian Peccei",
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            "Development Status :: 5 - Production/Stable",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Text Processing :: General",
            "Topic :: Text Processing :: Linguistic"
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        "description": "This package contains a variety of useful functions for text mining in Python.\r\nIt focuses on statistical text mining (i.e. the bag-of-words model) and makes it\r\nvery easy to create a term-document matrix from a collection of documents. This\r\nmatrix can then be read into a statistical package (R, MATLAB, etc.) for further\r\nanalysis. The package also provides some useful utilities for finding\r\ncollocations (i.e. significant two-word phrases), computing the edit distance\r\nbetween words, and chunking long documents up into smaller pieces.\r\n\r\nThe package has a large amount of curated data (stopwords, common names, an\r\nEnglish dictionary with parts of speech and word frequencies) which allows the\r\nuser to extract fairly sophisticated features from a document.\r\n\r\nThis package does NOT have any natural language processing capabilities such as\r\npart-of-speech tagging. Please see the Python NLTK for that sort of\r\nfunctionality (plus much, much more).",
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