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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 Hadoop as a storage framework

Apache Hadoop is one of the widely used frameworks. Hadoop allows the distributed processing of large datasets across clusters of commodity computers using a simple programming model. Hadoop uses the concept of MapReduce. MapReduce divides the input query into small parts and processes them in parallel to the data stored on the Hadoop distributed file system (HDFS).

Hadoop has the following features:

It is scalable
It is cost-effective
It provides a robust ecosystem
It provides faster data processing

Hadoop can be used as a storage framework for NLP applications. If you want to store large amounts of data, then you can use a multinode Hadoop cluster and store data on HDFS. So, many NLP applications use HDFS for their historical data. Hadoop sends a program to the data and the data processes it locally. These features give Hadoop good speed...

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