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Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Aman Kedia, Mayank Rasu

E-book
Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical grounding.
This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you’ll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine translation, and developing a chatbot using machine learning and deep learning techniques. The book will also help you discover how machine learning techniques play a vital role in making your linguistic apps smart. Every chapter is accompanied by examples of real-world applications to help you build impressive NLP applications of your own.
By the end of this NLP book, you’ll be able to work with language data, use machine learning to identify patterns in text, and get acquainted with the advancements in NLP.
  • 1. Understanding the Basics of NLP
  • 2. NLP Using Python
  • 3. Building your NLP Vocabulary
  • 4. Transforming Text into Data Structures
  • 5. Word Embeddings and Distance Measurements for Text
  • 6. Exploring Sentence-, Document-, and Character-Level Embeddings
  • 7. Identifying Patterns in Text using Machine Learning
  • 8. From Human Neurons to Artificial Neurons for Understanding Text
  • 9. Applying Convolutions to Text
  • 10. Capturing Temportal Relationships in Text
  • 11. State of the Art in NLP
  • Titel: Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
  • Autor: Aman Kedia, Mayank Rasu
  • Originaler Titel: Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
  • ISBN: 9781838982584, 9781838982584
  • Veröffentlichungsdatum: 2020-06-26
  • Format: E-book
  • Artikelkennung: e_2adz
  • Verleger: Packt Publishing