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Python Natural Language Processing

You're reading from Python Natural Language Processing

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Pages 486 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Table of Contents (13) Chapters

Preface

1. Introduction

2. Practical Understanding of a Corpus and Dataset

3. Understanding the Structure of a Sentences

4. Preprocessing

5. Feature Engineering and NLP Algorithms

6. Advanced Feature Engineering and NLP Algorithms

7. Rule-Based System for NLP

8. Machine Learning for NLP Problems

9. Deep Learning for NLU and NLG Problems

10. Advanced Tools

11. How to Improve Your NLP Skills

12. Installation Guide

Apache Spark as a processing framework

Apache Spark is a large-scale data processing framework. It is a fast and general-purpose engine. It is one of the fastest processing frameworks. Spark can perform in-memory data processing, as well as on-disk data processing.

Spark's important features are as follows:

Speed: Apache Spark can run programs up to 100 times faster than Hadoop MapReduce in-memory or 10 times faster on-disk
Ease of use: There are various APIs available for Scala, Java, Spark, and R to develop your application
Generality: Spark provides features of Combine SQL, streaming, and complex analytics
Run everywhere: Spark can run on Hadoop, Mesos, standalone, or in the cloud. You can access diverse data sources by including HDFS, Cassandra, HBase, and S3

I have used Spark to train my models using MLlib. I have used Spark Java as well as PySpark API. The result...

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