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Getting Started with Natural Language Processing
Item #: 57895438

Getting Started with Natural Language Processing

Item #: 57895438

SAR 251

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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.

    Product Details

    Shop Getting Started with Natural Language Processing online at a best price in Saudi Arabia. 1617296767
    • An in-depth introduction to NLP fundamental concepts and algorithms
    • Learn about useful Python libraries for NLP and hands-on projects
    • Techniques for building a search algorithm and extracting information from raw text
    • Practical applications like predicting sentiment, author profiling, and topic labeling
    • Authored by Dr. Ekaterina Kochmar, a lecturer at the University of Bath
    • Suitable for readers with basic Python skills and no prior NLP experience
    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?

    Suitable For
    • 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.

    • Research Enthusiasts

      Useful for researchers interested in exploring NLP applications and improving their understanding of language models.

    Not Suitable For
    • Advanced Practitioners

      Not suited for experienced professionals seeking in-depth technical insights or advanced NLP techniques beyond beginner level.

    Product Description

    Getting Started with Natural Language Processing

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    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. **

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    Pros

    • 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

    Cons

    • Low print quality with much text in shades of grey, affecting readability

    Product Price History

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