Natural Language Processing and Computational Linguistics

A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Artificial Intelligence, General Computing
Cover of the book Natural Language Processing and Computational Linguistics by Bhargav Srinivasa-Desikan, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Bhargav Srinivasa-Desikan ISBN: 9781788837033
Publisher: Packt Publishing Publication: June 29, 2018
Imprint: Packt Publishing Language: English
Author: Bhargav Srinivasa-Desikan
ISBN: 9781788837033
Publisher: Packt Publishing
Publication: June 29, 2018
Imprint: Packt Publishing
Language: English

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras
  • Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms
  • Learn deep learning techniques for text analysis

Book Description

Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data.

This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy.

You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.

This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.

What you will learn

  • Why text analysis is important in our modern age
  • Understand NLP terminology and get to know the Python tools and datasets
  • Learn how to pre-process and clean textual data
  • Convert textual data into vector space representations
  • Using spaCy to process text
  • Train your own NLP models for computational linguistics
  • Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn
  • Employ deep learning techniques for text analysis using Keras

Who this book is for

This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

Book Description

Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data.

This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy.

You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.

This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.

What you will learn

Who this book is for

This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!

More books from Packt Publishing

Cover of the book Artificial Intelligence for Big Data by Bhargav Srinivasa-Desikan
Cover of the book Citrix® XenDesktop® 7 Cookbook by Bhargav Srinivasa-Desikan
Cover of the book Python: Real World Machine Learning by Bhargav Srinivasa-Desikan
Cover of the book OpenStack Cloud Computing Cookbook, Second Edition by Bhargav Srinivasa-Desikan
Cover of the book C++17 STL Cookbook by Bhargav Srinivasa-Desikan
Cover of the book Microsoft Dynamics CRM 2011 Customization & Configuration (MB2-866) Certification Guide by Bhargav Srinivasa-Desikan
Cover of the book OpenVPN: Building and Integrating Virtual Private Networks by Bhargav Srinivasa-Desikan
Cover of the book Implementing Microsoft Dynamics 365 for Finance and Operations by Bhargav Srinivasa-Desikan
Cover of the book Java EE6 Cookbook for Securing, Tuning and Extending Enterprise Applications by Bhargav Srinivasa-Desikan
Cover of the book Learning Game Physics with Bullet Physics and OpenGL by Bhargav Srinivasa-Desikan
Cover of the book Learning Splunk Web Framework by Bhargav Srinivasa-Desikan
Cover of the book JIRA Agile Essentials by Bhargav Srinivasa-Desikan
Cover of the book Oracle ADF Real World Developers Guide by Bhargav Srinivasa-Desikan
Cover of the book Appcelerator Titanium Smartphone App Development Cookbook - Second Edition by Bhargav Srinivasa-Desikan
Cover of the book JSF 2.0 Cookbook: LITE by Bhargav Srinivasa-Desikan
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy