You're reading from Natural Language Understanding with Python

Product typeBook

Published inJun 2023

PublisherPackt

ISBN-139781804613429

Edition1st Edition

Concepts

Machine Learning

Author (1)

Deborah A. Dahl

Part 2:Developing and Testing Natural Language Understanding Systems

After completing this section, you will be able to decide what techniques are applicable to address a problem with natural language understanding technologies and implement a system using Python and Python libraries such as NLTK, spaCy, and Keras, and evaluate it.

This part comprises the following chapters:

Chapter 3, Approaches to Natural Language Understanding – Rule-Based Systems, Machine Learning, and Deep Learning
Chapter 4, Selecting Libraries and Tools for Natural Language Understanding
Chapter 5, Natural Language Data – Finding and Preparing Data
Chapter 6, Exploring and Visualizing Data
Chapter 7, Selecting Approaches and Representing Data
Chapter 8, Rule-Based Techniques
Chapter 9, Machine Learning Part 1 – Statistical Machine Learning
Chapter 10, Machine Learning Part 2 – Neural Networks and Deep Learning Techniques
Chapter 11, Machine...

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Natural Language Understanding with Python

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Author (1)

Deborah A. Dahl

Deborah A. Dahl is the principal at Conversational Technologies, with over 30 years of experience in natural language understanding technology. She has developed numerous natural language processing systems for research, commercial, and government applications, including a system for NASA, and speech and natural language components on Android. She has taught over 20 workshops on natural language processing, consulted on many natural language processing applications for her customers, and written over 75 technical papers. Th is is Deborah's fourth book on natural language understanding topics. Deborah has a PhD in linguistics from the University of Minnesota and postdoctoral studies in cognitive science from the University of Pennsylvania.
Read more about Deborah A. Dahl

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