lykability

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1.0.0 lykability-1.0.0-py2.py3-none-any.whl

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Project: lykability
Version: 1.0.0
Filename: lykability-1.0.0-py2.py3-none-any.whl
Download: [link]
Size: 11221
MD5: 9d5a225776f2de9478d16d645eeb787f
SHA256: 5f3402deb36b370c2b9bf4b08673c340f8e6b1774167a5c4cb6a0e8bc9962873
Uploaded: 2016-08-30 04:39:26 +0000

dist-info

METADATA

Metadata-Version: 2.0
Name: lykability
Version: 1.0.0
Summary: Using empythy to score likability based on sentiment analysis of recent tweets about a given person
Author: John Keck
Author-Email: robertjkeck2[at]gmail.com
Home-Page: https://github.com/robertjkeck2/lykability
License: MIT
Keywords: machine learning,data science,NLP,natural language processing,sentiment,sentiment analysis,sentiment prediction,twitter corpus,twitter,tweets corpus,movie reviews corpus,NLTK,automated machine learning
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: empythy
Requires-Dist: nltk
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tweepy
[Description omitted; length: 2171 characters]

WHEEL

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Tag: py2-none-any
Tag: py3-none-any

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likability/__init__.py sha256=TrVXAQIfbBssp7SXxPJmcZUdZwct6pjVctWKzXx_tU0 41
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likability/test_script.py sha256=NxW-_xp8bmRZqfveDuQx63XL3eO2fR3vXPurm62729Y 108
likability/twitterAPI.py sha256=AJmnbXH9St5sw1ioW7ukN9km1dFV005hW2PBMkNNPsI 435
likability/twitterKeys.py sha256=UiTT-LgZPJHbEemkDkwImSvJNoA2vzgmE0mooVqahXE 590
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lykability-1.0.0.dist-info/RECORD
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top_level.txt

lykability