July 2021
Beginner to intermediate
356 pages
7h 6m
English
Overview
Mastering spaCy guides you through building powerful natural language processing (NLP) applications using the Python-based spaCy library. Starting from installation to mastering advanced features like word vectors and classification, this book equips you to create optimized real-world NLP solutions.
What this Book will help me do
- Understand the capabilities of the spaCy NLP library and its applications.
- Build and customize NLP models proficiently using spaCy.
- Apply spaCy tools for text processing, such as rule-based and machine learning approaches.
- Perform sentiment analysis, keyword extraction, and text classification effectively.
- Design and implement a functional chatbot using spaCy's features.
Author(s)
Duygu Altınok is a seasoned expert in natural language processing and computational linguistics, with extensive experience in developing machine learning applications. Altınok has a dedication to providing clear, hands-on guidance to developers looking to harness the power of spaCy for NLP tasks. Their approach to instruction emphasizes practical implementation and thorough understanding of the subject matter.
Who is it for?
This book is ideal for data scientists and NLP developers aiming to enhance their skills in spaCy and build efficient language models. It's also valuable for software developers seeking to quickly prototype NLP solutions and for linguistics professionals delving into computational applications. A basic knowledge of Python and some linguistic concepts like semantic similarity will maximize the reader's benefit from this resource.
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