{"product_id":"natural-language-processing-with-spacy-extracting-insights-and-entities-from-unstructured-text-data-9798248082988","title":"Natural Language Processing with spaCy: Extracting insights and entities from unstructured text data","description":"\u003cp\u003e • Author(s): Nathan Westwood\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Information Theory\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStop Counting Words. Start Understanding Meaning.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRaw text is messy. It's full of slang, typos, and ambiguity. But buried in that chaos is valuable data.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNatural Language Processing with spaCy\u003c\/i\u003e is the engineer's guide to turning unstructured text into structured insights. While academic books focus on the math of language, this book focuses on the \u003cb\u003eapplication\u003c\/b\u003e. It teaches you to use \u003cb\u003espaCy\u003c\/b\u003e, the industrial-strength NLP library, to build pipelines that are fast, accurate, and production-ready.\u003c\/p\u003e\u003cp\u003eThis is the definitive guide to extracting \"Who, What, Where, and When\" from millions of documents in seconds. You will learn to parse complex sentences, identify custom entities, and classify text with state-of-the-art accuracy.\u003c\/p\u003e\u003cb\u003eFrom Text to Intelligence\u003c\/b\u003e\u003cp\u003eWhether you are analyzing customer reviews, automating support tickets, or building a legal tech startup, this book provides the blueprint.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eNamed Entity Recognition (NER): \u003c\/b\u003e Train custom models to detect specific entities relevant to your domain-like \"drug names\" in medical records or \"stock tickers\" in financial news.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eText Classification: \u003c\/b\u003e Build classifiers that can instantly tag emails as \"Urgent,\" \"Spam,\" or \"Sales Lead\" with high precision.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eRule-Based Matching: \u003c\/b\u003e Combine statistical models with linguistic rules to catch patterns that pure machine learning often misses.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDependency Parsing: \u003c\/b\u003e Understand the grammatical structure of a sentence to extract relationships (e.g., \u003ci\u003eSubject\u003c\/i\u003e -\u0026gt; \u003ci\u003eVerb\u003c\/i\u003e -\u0026gt; \u003ci\u003eObject\u003c\/i\u003e) and build knowledge graphs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eProduction Pipelines: \u003c\/b\u003e Learn to package your NLP models as deployable Python packages and optimize them for speed on CPU and GPU.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are a data scientist tired of slow, academic libraries, or a developer needing to add \"smarts\" to your app, this book is your toolkit for modern NLP.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDon't just read text. Understand it. Scroll up and grab your copy to master the industry standard for Natural Language Processing.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47569848434839,"sku":"9798248082988","price":1416.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798248082988.webp?v=1774879384","url":"https:\/\/atlanticbooks.com\/products\/natural-language-processing-with-spacy-extracting-insights-and-entities-from-unstructured-text-data-9798248082988","provider":"Atlantic Books","version":"1.0","type":"link"}