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iReal-world Natural Language Processingi teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq--without getting bogged down in complex language theory and the mathematics of deep learning. pVoice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. In Real-World Natural Language Processing, you'll explore the core tools and techniques required to build a huge range of powerful NLP apps. pReal-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq--without getting bogged down in complex language theory and the mathematics of deep learning. 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
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