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This\nmatrix can then be read into a statistical package (R, MATLAB, etc.) for further\nanalysis. The package also provides some useful utilities for finding\ncollocations (i.e. significant two-word phrases), computing the edit distance\nbetween words, and chunking long documents up into smaller pieces.\n\nThe package has a large amount of curated data (stopwords, common names, an\nEnglish dictionary with parts of speech and word frequencies) which allows the\nuser to extract fairly sophisticated features from a document.\n\nThis package does NOT have any natural language processing capabilities such as\npart-of-speech tagging. Please see the Python NLTK for that sort of\nfunctionality (plus much, much more).\n\nThe original code and documentation is available in PyPI under the package name\n`textmining`. This package is a port to Python 3 and published in PyPI under the package\nname textmining3, and is based on the original.\n\n\nCredits\n-------\nThe original `textmining` 1.0 package code was authored by Christian Peccei \u003ccpeccei@hotmail.com\u003e\n\n.. _`textmining`: https://pypi.org/project/textmining/1.0/\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjcomlab%2Ftextmining3","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdjcomlab%2Ftextmining3","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjcomlab%2Ftextmining3/lists"}