December 2016
Beginner to intermediate
392 pages
8h 13m
English
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Chapter 6. NLP with Spark
In this chapter, we will see how to run NLP algorithms over Spark. You will learn the following recipes:
- Installing NLTK on Linux
- Installing Anaconda on Linux
- Anaconda for cluster management
- POS tagging with PySpark on an Anaconda cluster
- Named Entity Recognition with IPython over Spark
- Implementing openNLP - chunker over Spark
- Implementing openNLP - sentence detector over Spark
- Implementing stanford NLP - lemmatization over Spark
- Implementing sentiment analysis using stanford NLP over Spark
Introduction
The study of natural language processing is called NLP. It is about the application of computers on different language nuances and building real-world applications using NLP techniques. NLP is analogous to teaching a language to ...
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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.
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.