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TextPreProc

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1.7 TextPreProc-1.7-py2.py3-none-any.whl

Wheel Details

Project: TextPreProc
Version: 1.7
Filename: TextPreProc-1.7-py2.py3-none-any.whl
Download: [link]
Size: 9383
MD5: 681555352265b4a3d63eddba3acebaf0
SHA256: 8b73061afe666e8b745e40014a463cf693d1c128fa117f908cb9e6bd1139b9bc
Uploaded: 2021-07-06 00:13:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: TextPreProc
Version: 1.7
Summary: The package is created to simplify a users effort of text clearning and exploration. It allows user to clean the data and do some basic analysis like N-gram WordCouds and Topic Modelling
Author: Mayur Gupta
Author-Email: mayurgpt07[at]gmail.com
Home-Page: https://github.com/mayurgpt07/TextProcessingPackage/
License: MIT
Requires-Dist: pandas
Requires-Dist: nltk
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: wordcloud
Requires-Dist: beautifulsoup4
Requires-Dist: gensim
Requires-Dist: sklearn
Requires-Dist: seaborn
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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TextProcessing/DataAndProcessing.py sha256=cZfUisniuDd2YbCCSoLPetgb6aHv81YBIUN6lj3tT4E 12671
TextProcessing/TopicModelling.py sha256=EOhpapg89rJMxaeyz9cJq7jv-6VOYXhiGn5JoW7-q7Q 14636
TextProcessing/__init__.py sha256=QAs86XRtw513JjRc-oJDwJ3Ltu3ubHHFIEvrjhAyv-o 647
TextPreProc-1.7.dist-info/LICENSE sha256=GmglRtigiCMcsKo5ojcjacTaMupilQ944gLW88cKT7M 1089
TextPreProc-1.7.dist-info/METADATA sha256=LMEciRwr5Cj_iHlZa_AMaMKNgcpHM0ZIPqUcSSx8vyc 623
TextPreProc-1.7.dist-info/WHEEL sha256=gxPaqcqKPLUXaSAKwmfHO7_iAOlVvmp33DewnUluBB8 116
TextPreProc-1.7.dist-info/top_level.txt sha256=M2yo5LKs1pZa7M5IUocgUOKC_cRwOOa02DxJodCdxmo 15
TextPreProc-1.7.dist-info/RECORD — —

top_level.txt

TextProcessing