STHITAPRAJNAS
/ sentiment.py
Created
June 22, 2017 14:12
— forked from bbengfort/sentiment.py
An end-to-end demonstration of a Scikit-Learn SVM classifier trained on the positive and negative movie reviews corpus in NLTK.
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| import os | |
| import time | |
| import string | |
| import pickle | |
| from operator import itemgetter | |
| from nltk.corpus import stopwords as sw | |
| from nltk.corpus import wordnet as wn | |
| from nltk import wordpunct_tokenize |
STHITAPRAJNAS
/ DS0103EN-1-1-1-From-Problem-to-Approach-v1.0.ipynb
Created
December 12, 2018 02:39
Created on Cognitive Class Labs
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STHITAPRAJNAS
/ DS0103EN-1-1-1-From-Problem-to-Approach-v1.0.ipynb
Created
December 12, 2018 02:42
Created on Cognitive Class Labs
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STHITAPRAJNAS
/ DS0103EN-2-2-1-From-Requirements-to-Collection-v1.0.ipynb
Created
December 12, 2018 03:16
Created on Cognitive Class Labs
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/ DS0103EN-3-3-1-From-Understanding-to-Preparation-v1.0.ipynb
Created
December 19, 2018 02:13
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STHITAPRAJNAS
/ DS0103EN-4-4-1-From-Modeling-to-Evaluation-v1.0.ipynb
Created
December 21, 2018 03:57
Created on Cognitive Class Labs
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STHITAPRAJNAS
/ 1.2_String_Operations.ipynb
Created
December 27, 2018 23:47
Created on Cognitive Class Labs
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STHITAPRAJNAS
/ 1.1_Python_First_Code.ipynb
Created
December 27, 2018 23:48
Created on Cognitive Class Labs
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STHITAPRAJNAS
/ DB0201EN-Week4-1-1-RealDataPractice-v4-py.ipynb
Created
January 5, 2019 20:12
Created on Cognitive Class Labs
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