Feature Extraction - Machine Learning #6
In This tutorial we cover the basics of text processing where we extract features from news text and build a classifier that predicts the category of a news article based on the description of the article. The way this works in by using CountVectorizer for features extraction and Multinominal Naive Bayes classifier.
GitHub/NB Viewer:
http://nbviewer.ipython.org/github/tw...
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