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＜p＞＜strong＞An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.＜/strong＞＜/p＞ ＜p＞＜em＞Natural Language Processing with Python and spaCy＜/em＞ will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.＜/p＞ ＜p＞You'll also learn how to:＜br /＞ ＜strong＞?＜/strong＞ Work with word vectors to mathematically find words with similar meanings (Chapter 5)＜br /＞ ＜strong＞?＜/strong＞ Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)＜br /＞ ＜strong＞?＜/strong＞ Automatically extract keywords from user input and store them in a relational database (Chapter 9)＜br /＞ ＜strong＞?＜/strong＞ Deploy a chatbot app to interact with users over the internet (Chapter 11)＜/p＞ ＜p＞"Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.＜/p＞ ＜p＞By the end of the book, you'll be creating your own NLP applications with Python and spaCy.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。

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