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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

Advantages of togetherness - NLP and Python

The following points illustrate why Python is one of the best options to build an NLP-based expert system:

Developing prototypes for the NLP-based expert system using Python is very easy and efficient
A large variety of open source NLP libraries are available for Python programmers
Community support is very strong
Easy to use and less complex for beginners
Rapid development: testing, and evaluation are easy and less complex
Many of the new frameworks, such as Apache Spark, Apache Flink, TensorFlow, and so on, provide API for Python
Optimization of the NLP-based system is less complex compared to other programming paradigms

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Python Natural Language Processing

Published in: Jul 2017 Publisher: Packt ISBN-13: 9781787121423

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