{"product_id":"applied-nlp-with-python-text-cleaning-embeddings-and-real-world-use-9798245472331","title":"Applied NLP with Python: Text Cleaning, Embeddings, and Real-World Use","description":"\u003cp\u003e • Author(s): Amara Hawthorn\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eNatural Language Processing (NLP) is powering search engines, chatbots, recommendation systems, sentiment analysis, and large language models-but most books stop at theory.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eApplied NLP with Python\u003c\/b\u003e is a practical, hands-on guide designed to help you move from messy, unstructured text to production-ready NLP solutions using Python.\u003c\/p\u003e\u003cp\u003eWhether you're a data scientist, machine learning engineer, software developer, or researcher, this book shows you \u003cb\u003ehow NLP actually works in the real world\u003c\/b\u003e-from cleaning noisy text to building embeddings and deploying meaningful applications.\u003c\/p\u003eWhat you'll learn: \u003cul\u003e\n\u003cli\u003e\u003cp\u003eClean, normalize, and preprocess real-world text data\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHandle tokenization, stemming, lemmatization, and stopwords effectively\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild and evaluate text features using traditional and modern approaches\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUnderstand and implement \u003cb\u003eword, sentence, and document embeddings\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWork with TF-IDF, Word2Vec, GloVe, FastText, and transformer-based embeddings\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply NLP techniques to classification, clustering, similarity search, and sentiment analysis\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDesign scalable NLP pipelines using Python libraries such as \u003cb\u003eNLTK, spaCy, scikit-learn, and transformers\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTranslate theory into \u003cb\u003ebusiness-ready NLP use cases\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003eWhy this book stands out: \u003cul\u003e\n\u003cli\u003eFocuses on \u003cb\u003eapplied NLP\u003c\/b\u003e, not abstract math\u003c\/li\u003e\n\u003cli\u003eUses \u003cb\u003eclean, readable Python code\u003c\/b\u003e throughout\u003c\/li\u003e\n\u003cli\u003eCovers both \u003cb\u003eclassic techniques and modern embedding methods\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eEmphasizes \u003cb\u003ereal-world datasets and problems\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eIdeal bridge between beginner tutorials and advanced NLP systems\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for: \u003cul\u003e\n\u003cli\u003e\u003cp\u003eData scientists and analysts working with text data\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePython developers entering NLP or AI\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMachine learning practitioners seeking practical NLP skills\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStudents and professionals preparing for real-world NLP projects\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eNo unnecessary theory. No black-box explanations.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47570129813655,"sku":"9798245472331","price":1592.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798245472331.webp?v=1774880437","url":"https:\/\/atlanticbooks.com\/products\/applied-nlp-with-python-text-cleaning-embeddings-and-real-world-use-9798245472331","provider":"Atlantic Books","version":"1.0","type":"link"}