Scikit-Learn incorporation - Natural Language Processing With Python and NLTK p.15

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Published on May 16, 2015 1:14:45 PM ● Video Link: https://www.youtube.com/watch?v=nla4C-VYNEU

Duration: 16:37

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Despite coming packed with some classifiers, NLTK is mainly a toolkit focused on natural language processing, and not machine learning specifically.

A module that is focused on machine learning is scikit-learn, which is packed with a large array of machine learning algorithms which are optimized in C.

Luckily NLTK has recognized this and comes packaged with a special classifier that wraps around scikit learn. In NLTK, this is: nltk.classify.scikitlearn, specifically the class: SklearnClassifier is what we're interested in.

This allows us to port over any of the scikit-learn classifiers that are compatible, which is most.

Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1

sample code: http://pythonprogramming.net
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