Natural Language Processing: Foundations Techniques and Applications

This audiobook is narrated by a digital voice. "Natural Language Processing: Foundations, Techniques, and Applications" A Comprehensive Guide for BCA, BTech, and MCA Students About the Book: Natural Language Processing (NLP) is a rapidly evolving field that bridges the gap between human language and artificial intelligence. This book, "Natural Language Processing: Foundations, Techniques, and Applications," is designed specifically for BCA, BTech, and MCA students to provide a clear, structured, and hands-on approach to learning NLP. The book starts with fundamental concepts, introducing students to linguistics, text preprocessing, and rule-based approaches, before progressing to machine learning, deep learning techniques, and real-world applications like chatbots, machine translation, and text summarization. Each chapter includes theoretical explanations, practical implementations using Python, case studies, and hands-on projects, ensuring that students not only understand NLP concepts but also gain practical experience in building NLP applications. By the end of the book, students will be equipped with the skills required to develop intelligent text-processing applications, analyze real-world language data, and explore the potential of modern AI-powered NLP models like BERT, GPT, and transformers. Benefits of Studying This Book: Strong Theoretical Foundationcore principles of NLPsyntax, semantics, parsing, and text processingclassical NLP techniquesmodern AI-based approachesHands-on Practical Learningreal-world NLP tasksPython, NLTK, SpaCy, and TensorFlowtext classification, sentiment analysis, chatbots, and summarization projectsMachine Learning and Deep Learning for NLPcomprehensive understanding of machine learning modelsdeep learning techniques like RNN, LSTM, GRU, and Transformer models (BERT & GPT)Industry-Relevant Applicationschatbots (Alexa, Siri), speech recognition, machine translation (Google Translate), and sentiment analysisreal-world projectsproblem-solving skills and employabilityCareer Opportunities in NLP and AIAI-driven job rolesNLP Engineer, Data Scientist, AI Researcher, and Machine Learning Engineerpractical projectstech industry Duration - 14h 47m. Author - Anshuman Mishra. Narrator - Digital Voice Madison G. Published Date - Thursday, 02 January 2025. Copyright - © 2025 Anshuman Mishra ©.