Book Image

fastText Quick Start Guide

By : Joydeep Bhattacharjee
Book Image

fastText Quick Start Guide

By: Joydeep Bhattacharjee

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)
Free Chapter
1
First Steps
4
The FastText Model
7
Using FastText in Your Own Models

Summary

In this chapter, you took a look at how you can combine the command line text transformation capabilities of the *Nix shell and the fastText library to implement a training, validation, and prediction pipeline. The commands that you explored in this chapter are not only versatile, they are fast as well. Having good mastery over the command line, along with a fastText app, should enable you to create fast prototypes and deploy them in a fast-paced environment. With this, the first part of the book is complete.

The next part of the book is about the theory and algorithms that have gone into making the package, with the next chapter being about unsupervised learning using fastText.