Sentiment Analysis Module - Natural Language Processing With Python and NLTK p.19

From the creator

Now that we've got a more reliable classifier, we're ready to push forward. Here, we cover how we can convert our classifier training script to an actual sentiment analysis module. We pickle everything, and create a new sentiment function, which, with a parameter of "Text" will perform a classification and return the result. By pickling everything, we find that we can load this module in seconds, rather than the prior 3-5 minutes. After this, we're ready to apply this module to a live Twitter stream. 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 2015-05-19 · Watch on YouTube ↗
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