
Natural Language Processing in the Real World
Text Processing, Analytics, and Classification
- 360 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Natural Language Processing in the Real World
Text Processing, Analytics, and Classification
About this book
Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset.
This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented.
This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- List of Figures
- List of Tables
- Preface
- Author Bio
- Acknowledgments
- Section I INLP Concepts
- Section II Data Curation
- Section III Data Processing and Modeling
- Section IV NLP Applications across Industry Verticals
- Section V Implementing Advanced NLP Applications
- Section VI Implementing NLP Projects in the Real-World
- Bibliography
- Index