'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...

a) Provides basic concepts of Natural Language Processing for getting started from scratch. b) Introduces advanced concepts for scaling, deep learning and real-world issues seen in the industry. c) Provides applications of Natural Language Processing over a diverse set of 15 industry verticals. d) Shares practical implementation including Python code, tools and techniques for a variety of Natural Language Processing applications and industrial products for a hands-on experience. e) Gives readers a sense of all there is to build successful Natural Language Processing projects: the concepts,...