September 2016
Beginner to intermediate
264 pages
9h 26m
English
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Chapter 8. Advanced NLP example: movie review sentiment
This chapter covers
- Using a real-world dataset for predicting sentiment from movie reviews
- Exploring possible use cases for this data and the appropriate modeling strategy
- Building an initial model using basic NLP features and optimizing the parameters
- Improving the accuracy of the model by extracting more-advanced NLP features
- Scaling and other deployment aspects of using this model in production
In this chapter, you’ll use some of the advanced feature-engineering knowledge acquired in the previous chapter to solve a real-world problem. Specifically, you’ll use advanced text and NLP feature-engineering processes to build and optimize a model based on user-submitted reviews of movies. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.