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

Preface

FastText is a state-of-the-art tool that can be used to perform text classification and build efficient word representations. It is open source and is designed at Facebook Artificial Intelligence Research (FAIR) lab. It is written in C++, and you also have wrappers available in Python.

This book has the ambitious goal of covering all and techniques and know-how that you need to build NLP applications in the real world. It will also cover the algorithms on which fastText is built so that you will clearly understand the context in which you can expect the best results from fastText.