about the technologyNatural 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.