{"version":"1.0","type":"link","provider_name":"Hardcover","provider_url":"https://hardcover.app","cache_age":86400,"title":"Natural Language Processing with Python and spaCy: A Practical Introduction","url":"https://hardcover.app/books/natural-language-processing-with-python-and-spacy","description":"Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. \n\nYOU\u0026#39;LL LEARN \n\n- Leveraging the spaCy library to extract meaning from text intelligently\n- Determining the relationships between words in a sentence (syntactic dependency parsing)\n- Identifying 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). \n- Transforming statements into questions to keep a conversation going. \n\nYOU\u0026#39;LL ALSO LEARN\n\n• Work with word vectors to mathematically find words with similar meanings (Chapter 5) \n• Identify patterns within data using spaCy\u0026#39;s built-in displaCy visualizer (Chapter 7) \n• Automatically extract keywords from user input and store them in a relational database (Chapter 9) \n• Deploy a chatbot app to interact with users over the internet (Chapter 11) \n\n\u0026quot;Try This\u0026quot; sections in each chapter encourage you to practice what you\u0026#39;ve learned by expanding the book\u0026#39;s example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications. By the end of the book, you\u0026#39;ll be creating your own NLP applications with Python and spaCy.","author_name":"Yuli Vasiliev","author_url":"https://hardcover.app/authors/yuli-vasiliev","thumbnail_url":"https://assets.hardcover.app/edition/30459573/04502cb9b894282603a0e82c9d2f06783bb25efc.jpeg","thumbnail_width":379,"thumbnail_height":500}