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- Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
Ebook
spaCy is an industrial-grade, efficient NLP Python library. It offers various pre-trained models and ready-to-use features. Mastering spaCy provides you with end-to-end coverage of spaCy's features and real-world applications.
You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results.
By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps.
You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results.
By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps.
- 1. Getting Started with spaCy
- 2. Core Operations with spaCy
- 3. Linguistic Features
- 4. Rule-Based Matching
- 5. Working with Word Vectors and Semantic Similarity
- 6. Putting Everything Together: Semantic Parsing with spaCy
- 7. Customizing spaCy Models
- 8. Text Classification with spaCy
- 9. spaCy and Transformers
- 10. Putting Everything Together: Designing Your Chatbot with spaCy
- Title: Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
- Author: Duygu Altinok
- Original title: Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
- ISBN: 9781800561120, 9781800561120
- Date of issue: 2021-07-09
- Format: Ebook
- Item ID: e_2a6w
- Publisher: Packt Publishing