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add installation instructions to the readme
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README.md
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README.md
@ -2,6 +2,25 @@ Tools for working with word frequencies from various corpora.
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Author: Robyn Speer
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## Installation
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wordfreq requires Python 3 and depends on a few other Python modules
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(msgpack-python, langcodes, and ftfy). You can install it and its dependencies
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in the usual way, either by getting it from pip:
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pip3 install wordfreq
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or by getting the repository and running its setup.py:
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python3 setup.py install
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To handle word frequency lookups in Japanese, you need to additionally install
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mecab-python3, which itself depends on libmecab-dev. These commands will
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install them on Ubuntu:
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sudo apt-get install mecab-ipadic-utf8 libmecab-dev
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pip3 install mecab-python3
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## License
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`wordfreq` is freely redistributable under the MIT license (see
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@ -33,3 +52,4 @@ Some additional data was collected by a custom application that watches the
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streaming Twitter API, in accordance with Twitter's Developer Agreement &
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Policy. This software only gives statistics about words that are very commonly
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used on Twitter; it does not display or republish any Twitter content.
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setup.py
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setup.py
@ -19,7 +19,7 @@ classifiers = [
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]
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current_dir = os.path.dirname(__file__)
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README_contents = open(os.path.join(current_dir, 'README.txt')).read()
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README_contents = open(os.path.join(current_dir, 'README.md')).read()
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doclines = README_contents.split("\n")
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dependencies = ['ftfy >= 4', 'msgpack-python', 'langcodes']
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if sys.version_info < (3, 4):
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@ -28,7 +28,7 @@ if sys.version_info < (3, 4):
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setup(
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name="wordfreq",
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version='1.0b1',
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version='1.0b2',
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maintainer='Luminoso Technologies, Inc.',
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maintainer_email='info@luminoso.com',
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url='http://github.com/LuminosoInsight/wordfreq/',
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