Book Image

Mastering spaCy

By : Duygu Altınok
Book Image

Mastering spaCy

By: Duygu Altınok

Overview of this book

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.
Table of Contents (15 chapters)
1
Section 1: Getting Started with spaCy
4
Section 2: spaCy Features
9
Section 3: Machine Learning with spaCy

Text classification with spaCy and Keras

In this section, we will learn about methods for blending spaCy with neural networks using another very popular Python deep learning library, TensorFlow, and its high-level API, Keras.

Deep learning is a broad family of machine learning algorithms that are based on neural networks. Neural networks are human brain-inspired algorithms that contain connected layers, which are made from neurons. Each neuron is a mathematical operation that takes its input, multiplies it by its weights, and then passes the sum through the activation function to the other neurons. The following diagram shows a neural network architecture with three layers -- the input layer, hidden layer, and output layer:

Figure 8.8 – A neural network architecture with three layers

TensorFlow is an end-to-end open source platform for machine learning. TensorFlow might be the most popular deep learning library among research engineers and scientists...