July 2016
Beginner to intermediate
462 pages
9h 14m
English
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Creating a categorized corpus
As Pythonistas, we are interested in news about Python programming or related technologies; however, if you search for Python articles, you may also get articles about snakes. One solution for this issue is to train a classifier, which recognizes relevant articles. This requires a training set—a categorized corpus with, for instance, the categories "Python programming" and "other".
NLTK has the CategorizedPlaintextCorpusReader class for the construction of a categorized corpus. To make things extra exciting, we will get the links for the news articles from RSS feeds. I chose feeds from the BBC, but of course you can use any other feeds. The BBC feeds are already categorized. I selected the world news and technology ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.