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Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit,Used
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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:Extract information from unstructured text, either to guess the topic or identify 'named entities' Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages or if you're simply curious to have a programmer's perspective on how human language works you'll find Natural Language Processing with Python both fascinating and immensely useful.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has five hundred two pages. It provides a comprehensive introduction to natural language processing using Python.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and suitable for carrying around.
- Q: What are the dimensions of this book? A: The dimensions are seven point zero one inches in length, one point one eight inches in width, and nine point one seven inches in height. These measurements make it easy to store on a bookshelf.
- Q: What topics does this book cover? A: This book covers natural language processing, including algorithms for analyzing text and accessing linguistic databases. It also discusses practical applications for real-world usage.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides a highly accessible introduction to natural language processing using Python.
- Q: Can I use this book for advanced studies? A: Yes, this book can also benefit advanced users. It includes examples and exercises that deepen understanding of natural language processing.
- Q: How do I care for this paperback book? A: To care for this book, keep it away from moisture and sunlight. Store it upright on a shelf to prevent bending.
- Q: Is this book safe to read for young adults? A: Yes, this book is safe for young adults. It focuses on educational content related to programming and linguistics.
- Q: How can I apply what I learn from this book? A: You can apply what you learn by developing web applications or analyzing text data. The book provides practical exercises to help you implement your skills.
- Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, you should contact customer support for a return or exchange. They will guide you through the process.
- Q: Does this book include exercises? A: Yes, this book includes exercises. These exercises are designed to reinforce your understanding of natural language processing concepts.
- Q: Is there any technical jargon in this book? A: Yes, the book does contain technical jargon. However, it explains terms clearly to help readers understand the subject matter.
- Q: Can I use the techniques from this book in real-world projects? A: Yes, the techniques can be used in real-world projects. The book focuses on practical applications in natural language processing.
- Q: What programming language does this book teach? A: This book teaches the Python programming language. It utilizes the Natural Language Toolkit (NLTK) for practical examples.
- Q: Is this book recommended for self-study? A: Yes, this book is highly recommended for self-study. It provides clear explanations and practical exercises for independent learners.