Depending on your operating system, you will need to make sure that you have some dependencies installed in your machine. In this section, you will get to know how to install fastText based on whether you are using a Linux, Windows, or macOS operating system. Additionally, you will get to know what additional dependencies you should install depending on your usage. My recommendation is to install all the software packages, as we will be exploring all the various ways we can use fastText in this book.
fastText Quick Start Guide
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fastText Quick Start Guide
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Overview of this book
Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText.
This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification.
Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch.
Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects.
Table of Contents (14 chapters)
Preface
Introducing FastText
Creating Models Using FastText Command Line
The FastText Model
Word Representations in FastText
Sentence Classification in FastText
Using FastText in Your Own Models
FastText in Python
Machine Learning and Deep Learning Models
Deploying Models to Web and Mobile
Notes for the Readers
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