July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Natural language generation
NLG is an area where we are trying to teach machines how to generate NL in a sensible manner. This, in itself, is a challenging AI task. Deep learning has really helped us perform this kind of challenging task. Let me give you an example. If you are using Google's new inbox, then you may notice that when you reply to any mail, you will get three most relevant replies in the form of sentences for the given mail. Google used millions of e-mails and made an NLG model that was trained using deep learning to generate or predict the most relevant reply for any given mail. You can refer to Figure 9.8:
Figure 9.8: Google's ...
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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.