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twitterpersona

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0.3.8 twitterpersona-0.3.8-py3-none-any.whl

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Project: twitterpersona
Version: 0.3.8
Filename: twitterpersona-0.3.8-py3-none-any.whl
Download: [link]
Size: 18578
MD5: 76591e78b0bc4ba709779f43bd168b19
SHA256: 051fec0f8be07940a47b34d0f061ef58b5691ea41b278c8397e093f0f3d20751
Uploaded: 2023-02-04 15:11:23 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: twitterpersona
Version: 0.3.8
Summary: Assess whether a twitter is positive or negative based on the user's recent tweets
Author: Andy Wang, Renzo Wijngaarden, Roan Raina, Yurui Feng
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9,<4.0
Requires-Dist: matplotlib (<4.0.0,>=3.6.3)
Requires-Dist: nltk (<4.0.0,>=3.8.1)
Requires-Dist: numpy (<2.0.0,>=1.24.1)
Requires-Dist: pandas (<2.0.0,>=1.5.2)
Requires-Dist: pillow (<10.0.0,>=9.4.0)
Requires-Dist: python-dotenv (<0.22.0,>=0.21.0)
Requires-Dist: requests (<3.0.0,>=2.28.2)
Requires-Dist: tweepy (<5.0.0,>=4.12.1)
Requires-Dist: tweet-preprocessor (<0.7.0,>=0.6.0)
Requires-Dist: urllib3 (<2.0.0,>=1.26.14)
Requires-Dist: wordcloud (<2.0.0.0,>=1.8.2.2)
Description-Content-Type: text/markdown
[Description omitted; length: 5044 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.4.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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twitterpersona-0.3.8.dist-info/RECORD — —