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ერთეულის #:
57895438
Getting Started with Natural Language Processing
ერთეულის #:
57895438
GEL 196
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What Stands Out
Comprehensive Guide
This book offers a thorough introduction to natural language processing, covering fundamental concepts and practical applications, ideal for both beginners and intermediate learners in the field.
Hands-On Approach
Includes practical exercises and real-world examples, enabling readers to apply learned concepts effectively, bridging the gap between theory and practice in NLP.
Updated Content
Reflects the latest advancements in NLP techniques and tools, ensuring readers are equipped with current knowledge and skills to tackle modern language processing challenges.
Პროდუქტის აღწერილობა
- Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you'll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognitionGetting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you're a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the technologyFrom smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP!About the bookGetting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you'll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you've previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning!What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithmAbout the readerYou'll need basic Python skills. No experience with NLP required.About the authorEkaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath and a cofounder and the chief scientific officer of Korbit AI.Table of Contents1 Introduction2 Your first NLP example3 Introduction to information search4 Information extraction5 Author profiling as a machine-learning task6 Linguistic feature engineering for author profiling7 Your first sentiment analyzer using sentiment lexicons8 Sentiment analysis with a data-driven approach9 Topic analysis10 Topic modeling11 Named-entity recognition
| Publisher | Manning |
| Publication date | October 18, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 456 pages |
| ISBN-10 | 1617296767 |
| ISBN-13 | 978-1617296765 |
| Item Weight | 1.45 pounds (660 grams) |
| Dimensions | 7.38 x 1.1 x 9.25 inches (18.7 x 2.8 x 23.5 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming, providing foundational concepts and hands-on examples in natural language processing.
-
Data Science Students
Perfect for students pursuing data science who want to add NLP skills to their toolkit and enhance their studies.
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Research Enthusiasts
Useful for researchers interested in exploring NLP applications and improving their understanding of language models.
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Advanced Practitioners
Not suited for experienced professionals seeking in-depth technical insights or advanced NLP techniques beyond beginner level.
-
Non-technical Users
May be overwhelming for users without programming experience or technical background looking for basic NLP concepts.
-
Academic Scholars
Limited in academic rigor and advanced topics; not recommended for scholars requiring thorough research-focused content.
პროდუქტის აღწერილობა
გაქვთ რაიმე შეკითხვა? მოგვმართეთ ჩათში
მომხმარებელთა შეკითხვები და პასუხები
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კითხვა:
What is the primary focus of 'Getting Started with Natural Language Processing' 1st Edition?
პასუხი: This book primarily focuses on introducing readers to the core concepts and techniques of Natural Language Processing (NLP). It covers key topics such as text preprocessing, language modeling, and sentiment analysis. By providing practical exercises and examples, the book helps readers understand how to apply NLP theories in real-world scenarios, making it an excellent resource for beginners looking to dive into the field. -
კითხვა:
Who is the target audience for this book?
პასუხი: The target audience for 'Getting Started with Natural Language Processing' includes students, data science enthusiasts, and professionals who are new to the field of NLP. It provides a solid foundation for those interested in enhancing their knowledge and skills in natural language processing, regardless of their prior experience in programming or data analysis. -
კითხვა:
What programming languages and tools are utilized in the book?
პასუხი: In 'Getting Started with Natural Language Processing', Python is primarily utilized due to its extensive libraries and frameworks suited for NLP tasks. The book highlights tools such as NLTK, spaCy, and TensorFlow, providing readers with hands-on examples to effectively implement various techniques. These tools are vital for anyone looking to build practical applications in NLP. -
კითხვა:
Can this book help with career advancement in technology fields?
პასუხი: Absolutely! Mastering NLP concepts can significantly enhance your skillset, making you a valuable asset in technology fields such as artificial intelligence, data analytics, and software development. As businesses increasingly rely on data-driven decisions, understanding how to analyze and process natural language can open up numerous career opportunities in research and industry sectors. -
კითხვა:
What prior knowledge is recommended before reading this book?
პასუხი: While 'Getting Started with Natural Language Processing' is designed for beginners, having a basic understanding of Python programming will greatly enhance your learning experience. Familiarity with fundamental data structures and algorithms can also be beneficial. This foundational knowledge allows readers to grasp various NLP techniques more effectively and apply them in practical scenarios. -
კითხვა:
Is this book more theoretical or practical in its approach?
პასუხი: This book strikes a balance between theoretical concepts and practical applications. It provides foundational knowledge about NLP while also including numerous coding examples and exercises that allow readers to practice what they learn. This approach ensures that readers not only understand the principles behind NLP but also gain hands-on experience in implementing solutions. -
კითხვა:
What are some practical applications of NLP covered in the book?
პასუხი: The book discusses various practical applications of NLP, including text classification, chatbot creation, and sentiment analysis for social media content. These applications are vital for industries like marketing, customer service, and content generation. Understanding these use cases helps readers visualize how NLP can be integrated into different business processes. -
კითხვა:
Does the book include resources for further learning?
პასუხი: Yes, 'Getting Started with Natural Language Processing' includes references to online resources, tutorials, and communities for further learning. These additional resources enrich the reader's understanding and provide opportunities to engage with the NLP community, facilitating ongoing education and connection with industry trends. -
კითხვა:
How does this book differentiate from other NLP textbooks?
პასუხი: This book differentiates itself by focusing on a beginner-friendly approach, making complex topics accessible without overwhelming readers. It emphasizes practical exercises using popular libraries and frameworks, which is often overlooked in more advanced textbooks. This focus on application allows readers to quickly gain confidence in their NLP skills. -
კითხვა:
Where can I buy 'Getting Started with Natural Language Processing' 1st Edition in Georgia?
პასუხი: You can purchase 'Getting Started with Natural Language Processing' 1st Edition from Ubuy. They offer a convenient shopping experience, along with various options to find the product that fits your needs. Ubuy is known for its wide selection and reliable service, making it a great choice for acquiring books and educational materials.
Natural Language Processing Editorial Review
**** "Getting Started with Natural Language Processing" is an engaging and informative book that caters to individuals new to the field of NLP as well as those seeking a deeper understanding of the subject. Despite some criticisms regarding print quality, where much of the text appears in shades of grey, the content itself is richly Constructed. Readers praise the author, Prof. Ekaterina Kochmar, for her clear explanations and practical approach to complex concepts, which illuminate both the theoretical and applied aspects of natural language processing. The book’s structure—with task-driven chapters—provides a logical framework for readers, allowing them to grasp the material incrementally. The inclusion of hands-on examples ranging from Spam and Ham classification to Sentimental Analysis and Topic Analysis adds practicality to the theoretical concepts discussed. Furthermore, the text delves into related machine learning principles with the assistance of Scikit-learn, further enriching the learning experience. Users have found themselves revisiting the book and discovering new insights, often referred to as "aha moments," indicating that the author's teaching style resonates well with learners. This book is a valuable resource for anyone looking to start their journey in natural language processing or deepen their existing knowledge. **
Customer Reviews & Ratings
15 მომხმარებლის შეფასება
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5 ვარსკვლავი
63%
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4 ვარსკვლავი
11%
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3 ვარსკვლავი
26%
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ამ პროდუქტის მიმოხილვა
გაუზიარეთ თქვენი აზრები სხვა მომხმარებლებს
Დადებითი
- Clear and well-Constructed writing
- Practical, hands-on examples relevant to real-world tasks
- Task-wise chapter organization aids understanding
- Detailed explanation of both NLP and associated machine learning concepts
- Engaging for readers of varying expertise levels
მინუსები
- Low print quality with much text in shades of grey, affecting readability
Product Price History
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