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Natural Language Processing (NLP) enables machines to interpret, process, and respond to human language. "Introduction to Natural Language Processing with Hands-On Projects" provides an entry point for beginners and intermediates, guiding readers through core NLP concepts with practical, real-world projects. The book covers basics like syntax, semantics, tokenization, and word embeddings before advancing to tasks such as sentiment analysis, machine translation, and chatbot development. Each chapter includes step-by-step project explanations and utilizes popular NLP tools like NLTK and spaCy. The hands-on approach ensures readers gain both theoretical knowledge and practical skills.
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Natural Language Processing (NLP) enables machines to interpret, process, and respond to human language. "Introduction to Natural Language Processing with Hands-On Projects" provides an entry point for beginners and intermediates, guiding readers through core NLP concepts with practical, real-world projects. The book covers basics like syntax, semantics, tokenization, and word embeddings before advancing to tasks such as sentiment analysis, machine translation, and chatbot development. Each chapter includes step-by-step project explanations and utilizes popular NLP tools like NLTK and spaCy. The hands-on approach ensures readers gain both theoretical knowledge and practical skills.