June 2018
Beginner to intermediate
306 pages
7h 42m
English
book
Natural Language Processing and Computational Linguistics
by Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
Content preview from Natural Language Processing and Computational Linguistics
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Advanced Topic Modeling
We saw in the previous chapter the power of topic modeling, and how intuitive a way it can be to understand our data, as well as explore it. In this chapter, we will further explore the utility of these topic models, and also on how to create more useful topic models which better encapsulates the topics which may be present in a corpus. Since topic modeling is a way to understand the documents of a corpus, it also means we can analyze documents in ways we have not done before.
In this chapter, we will cover the following topics:
- Advanced training tips
- Exploring documents
- Topic coherence and evaluating topic models
- Visualizing topic models
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.