Combining Algos with a Vote - Natural Language Processing With Python and NLTK p.16

From the creator

Now that we have many classifiers, what if we created a new classifier, which combined the votes of all of the classifiers, and then classified the text whatever the majority vote was? Turns out, doing this is super easy. NLTK has considered this in advance, allowing us to inherit from their ClassifierI class from nltk.classify, which will give us the attributes of a classifier, yet allow us to write our own custom classifier code. Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com

Published 2015-05-16 · Watch on YouTube ↗
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