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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Start your NLP journey by mastering the messy middle-text preprocessing. This beginner-friendly guide introduces you to the core skills every aspiring NLP practitioner needs, such as cleaning and tokenizing text, handling stop words, stemming and lemmatization, and converting text into features. You'll then explore foundational tasks like text classification and sentiment analysis using real-world datasets. With no-code and plain-language explanations, this book makes natural language processing approachable and practical-even if you're just getting started.
Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning analytics to life.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Start your NLP journey by mastering the messy middle-text preprocessing. This beginner-friendly guide introduces you to the core skills every aspiring NLP practitioner needs, such as cleaning and tokenizing text, handling stop words, stemming and lemmatization, and converting text into features. You'll then explore foundational tasks like text classification and sentiment analysis using real-world datasets. With no-code and plain-language explanations, this book makes natural language processing approachable and practical-even if you're just getting started.
Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning analytics to life.