Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps.
about the technology
Natural language processing is the part of AI dedicated to understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers, machine translation, and search engines to emerging innovations like chatbots, voice assistants, and automatic text summarization. Wherever there is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines.
about the book
Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. In this practical guide, you’ll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you’ll use in all different kinds of NLP programs. By the time you’re done, you’ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems.
Design, develop, and deploy basic NLP applications
NLP libraries such as AllenNLP and Fairseq
Advanced NLP concepts such as attention and transfer learning
about the reader
Aimed at intermediate Python programmers. No mathematical or machine learning knowledge required.
about the author
Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.
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A good book on understanding and getting to speed with Natural Language Processing without long and boring theories or abstract concepts.
A very good introduction to Natural Language Processing. A lot of example are given with a direct implementation to put things in action.
The open and conversational approach the author takes bypasses a lot of the intimidation that comes with such a complex subject. It is perfect for beginners (as long as they possess a little programming knowledge) with each chapter breaking its topic down and explaining the parts in a simplified but non-condescending way.