{"product_id":"natural-language-processing-with-python-and-spacy-isbn-9781718500525","title":"Natural Language Processing with Python and spaCy","description":"\u003cb\u003eAn introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eNatural Language Processing with Python and spaCy\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003eYou'll also learn how to:\u003cbr\u003e\u003cli\u003eWork with word vectors to mathematically find words with similar meanings (Chapter 5)\u003c\/li\u003e\u003cli\u003eIdentify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)\u003c\/li\u003e\u003cli\u003eAutomatically extract keywords from user input and store them in a relational database (Chapter 9)\u003c\/li\u003e\u003cli\u003eDeploy a chatbot app to interact with users over the internet (Chapter 11)\u003c\/li\u003e\u003cbr\u003e\"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.\u003cbr\u003e\u003cbr\u003eBy the end of the book, you'll be creating your own NLP applications with Python and spaCy.Introduction\u003cbr\u003eChapter 1: How Natural Language Processing Works\u003cbr\u003eChapter 2: The Text-Processing Pipeline\u003cbr\u003eChapter 3: Working with Container Objects and Customizing spaCy\u003cbr\u003eChapter 4: Extracting and Using Linguistic Features\u003cbr\u003eChapter 5: Working with Word Vectors\u003cbr\u003eChapter 6: Finding Patterns and Walking Dependency Trees\u003cbr\u003eChapter 7: Visualizations\u003cbr\u003eChapter 8: Intent Recognition\u003cbr\u003eChapter 9: Storing User Input in a Database\u003cbr\u003eChapter 10: Training Models\u003cbr\u003eChapter 11: Deploying Your Own Chatbot\u003cbr\u003eChapter 12: Implementing Web Data and Processing Images\u003cbr\u003eLinguistic Primer\"A good resource for those programmers who want to learn to bridge the gap and write applications that anyone can use just by talking or writing to their machines and have the machine reply back.\" \u003cbr\u003e\u003cb\u003e—Jon Lazar, JustJon\u003c\/b\u003e\u003cb\u003eYuli Vasiliev\u003c\/b\u003e is a programmer, freelance writer, and consultant who specializes in open source development, Oracle database technologies, and natural language processing.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46302811783397,"sku":"NP9781718500525","price":39.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718500525.jpg?v=1767733576","url":"https:\/\/k12savings.com\/es\/products\/natural-language-processing-with-python-and-spacy-isbn-9781718500525","provider":"K12savings","version":"1.0","type":"link"}