{"product_id":"natural-language-processing-foundations-techniques-and-applications-a-comprehensive-guide-for-bca-btech-and-mca-students-9798313224527","title":"Natural Language Processing: Foundations, Techniques, and Applications: A Comprehensive Guide for BCA, BTech, and MCA Students","description":"\u003cp\u003e • Author(s): Anshuman Mishra\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBook Title: \u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\"Natural Language Processing: Foundations, Techniques, and Applications\"\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eA Comprehensive Guide for BCA, BTech, and MCA Students\u003c\/i\u003e\u003cbr\u003e\u003cb\u003eAbout the Book: \u003c\/b\u003e\u003cbr\u003eNatural Language Processing (NLP) is a rapidly evolving field that bridges the gap between human language and artificial intelligence. This book, \u003cb\u003e\"Natural Language Processing: Foundations, Techniques, and Applications,\"\u003c\/b\u003e is designed specifically for \u003cb\u003eBCA, BTech, and MCA students\u003c\/b\u003e to provide a \u003cb\u003eclear, structured, and hands-on\u003c\/b\u003e approach to learning NLP.\u003cbr\u003eThe book starts with fundamental concepts, introducing students to \u003cb\u003elinguistics, text preprocessing, and rule-based approaches\u003c\/b\u003e, before progressing to \u003cb\u003emachine learning, deep learning techniques, and real-world applications\u003c\/b\u003e like chatbots, machine translation, and text summarization. Each chapter includes \u003cb\u003etheoretical explanations, practical implementations using Python, case studies, and hands-on projects\u003c\/b\u003e, ensuring that students not only understand NLP concepts but also gain practical experience in building NLP applications.\u003cbr\u003eBy the end of the book, students will be equipped with the skills required to develop \u003cb\u003eintelligent text-processing applications\u003c\/b\u003e, analyze \u003cb\u003ereal-world language data\u003c\/b\u003e, and explore the potential of \u003cb\u003emodern AI-powered NLP models\u003c\/b\u003e like \u003cb\u003eBERT, GPT, and transformers\u003c\/b\u003e. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eBenefits of Studying This Book: \u003c\/b\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eStrong Theoretical Foundation\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the \u003cb\u003ecore principles of NLP\u003c\/b\u003e, including \u003cb\u003esyntax, semantics, parsing, and text processing\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003eLearn about \u003cb\u003eclassical NLP techniques\u003c\/b\u003e and their evolution to \u003cb\u003emodern AI-based approaches\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-on Practical Learning\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eImplement \u003cb\u003ereal-world NLP tasks\u003c\/b\u003e using \u003cb\u003ePython, NLTK, SpaCy, and TensorFlow\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003eWork on \u003cb\u003etext classification, sentiment analysis, chatbots, and summarization projects\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMachine Learning and Deep Learning for NLP\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eGain a \u003cb\u003ecomprehensive understanding of machine learning models\u003c\/b\u003e for NLP.\u003c\/li\u003e\n\u003cli\u003eLearn \u003cb\u003edeep learning techniques like RNN, LSTM, GRU, and Transformer models (BERT \u0026amp; GPT)\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustry-Relevant Applications\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eLearn how NLP powers applications like \u003cb\u003echatbots (Alexa, Siri), speech recognition, machine translation (Google Translate), and sentiment analysis\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003eWork on \u003cb\u003ereal-world projects\u003c\/b\u003e to enhance \u003cb\u003eproblem-solving skills and employability\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCareer Opportunities in NLP and AI\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eOpen doors to \u003cb\u003eAI-driven job roles\u003c\/b\u003e such as \u003cb\u003eNLP Engineer, Data Scientist, AI Researcher, and Machine Learning Engineer\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003eBuild a strong portfolio by working on \u003cb\u003epractical projects\u003c\/b\u003e, making students job-ready for the \u003cb\u003etech industry\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFuture-Ready Knowledge\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eStay updated with \u003cb\u003ethe latest trends in NLP\u003c\/b\u003e, including \u003cb\u003emultimodal AI, explainable NLP, and low-resource language processing\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003eLearn about \u003cb\u003eethical considerations, bias in NLP models, and the future scope of AI in language understanding\u003c\/b\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e \u003cp\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":45554367037591,"sku":"9798313224527","price":1713.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798313224527.webp?v=1767676999","url":"https:\/\/atlanticbooks.com\/products\/natural-language-processing-foundations-techniques-and-applications-a-comprehensive-guide-for-bca-btech-and-mca-students-9798313224527","provider":"Atlantic Books","version":"1.0","type":"link"}