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sentimentanalyser

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2.5	sentimentanalyser-2.5-py3-none-any.whl

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Project:	sentimentanalyser
Version:	2.5
Filename:	sentimentanalyser-2.5-py3-none-any.whl
Download:	[link]
Size:	6419
MD5:	`a6cf000b5759d05f8781a00b58ab724f`
SHA256:	`c501b6513ffb38de53fc6cde5ba316ee879ab15f5267fa182fd5705e169ae43f`
Uploaded:	2019-05-08 20:54:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	sentimentanalyser
Version:	2.5
Summary:	Generic python library to perform sentiment analysis on any dataset, using different models
Author:	Sanjay Pradeep,Jayanth Anantharapu, Aditya Kumar, Ashhadul Islam
Author-Email:	sanjay.sndk[at]gmail.com, aditya00kumar[at]gmail.com, ashhadulislam[at]gmail.com
License:	MIT
Keywords:	Classification,Binary Classification,Multi-label Classification,Text data
Requires-Dist:	nltk
Requires-Dist:	numpy
Requires-Dist:	openpyxl
Requires-Dist:	pandas
Requires-Dist:	scikit-learn
Requires-Dist:	scipy
Requires-Dist:	six
Requires-Dist:	tqdm

[Description omitted; length: 189 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.32.3)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
sentimentanalyser/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
sentimentanalyser/model_test.py	sha256=OFFvrm4CPWCC6eTjAvZW-Z2AhUCechY0WYfVhJZT5cQ	3962
sentimentanalyser/model_train.py	sha256=-pOvGruliRv0JZKX8PXEFtYbUEfxDadADEzsaowtx8U	4422
sentimentanalyser/preprocess.py	sha256=YxG4T-ndC4KUSFLg-8lIGpFhxXbuNuIZ7ArB9ajltvs	3479
sentimentanalyser-2.5.dist-info/LICENSE.rst	sha256=LB8rNBOV8C7kvLO1BIgC35riq5gS2isq-D8R91-DoDU	1092
sentimentanalyser-2.5.dist-info/METADATA	sha256=k6hImd1TDC1fl9KeWOhBGEIVzjCNimpd5CnX_2bMkko	818
sentimentanalyser-2.5.dist-info/WHEEL	sha256=LRS-GSFNyYPLBJaJJ6kxdk4Urtb4kEVXWc5DpA8iv6o	97
sentimentanalyser-2.5.dist-info/top_level.txt	sha256=E8nF3B94RnYObwri5UarHMBssqs19Gato1l1DuLHXys	18
sentimentanalyser-2.5.dist-info/RECORD	—	—

top_level.txt

sentimentanalyser