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fastText Quick Start Guide
fastText Quick Start Guide

fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

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Profile Icon Joydeep Bhattacharjee
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$17.99 $25.99
Book Jul 2018 194 pages 1st Edition
eBook
$17.99 $25.99
Print
$32.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon Joydeep Bhattacharjee
Arrow right icon
$17.99 $25.99
Book Jul 2018 194 pages 1st Edition
eBook
$17.99 $25.99
Print
$32.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$17.99 $25.99
Print
$32.99
Subscription
Free Trial
Renews at $19.99p/m

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fastText Quick Start Guide

First Steps

On completion of this section, the reader will have working knowledge of how to install fastText and run the command line application effectively on any dataset.

In the Chapter 1, Introducing fastText, you will get a description of fastText and the Natural Language Processing (NLP) context in which this library is useful. It will map the motivations behind building the library, its intended use, and the benefits that the creators of the library wanted to bring to NLP and the field of Computational Linguistics. Furthermore, there will be specific instructions on how to install fastText on the reader's work machine. On completion of this chapter, the reader will have fastText installed and running on their computer.

In the Chapter 2, Creating Models Using the FastText Command Line, you will get to know about the rich command line that the fastText library provides. This chapter will give you descriptions of the default command line options and how to use them to create models. If the reader only has a superficial interest in fastText, reading till this chapter should be enough.

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Key benefits

  • Introduction to Facebook's fastText library for NLP
  • Perform efficient word representations, sentence classification, vector representation
  • Build better, more scalable solutions for text representation and classification

Description

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.

What you will learn

  • Create models using the default command line options in fastText
  • Understand the algorithms used in fastText to create word vectors
  • Combine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline
  • Explore word representation and sentence classification using fastText
  • Use Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently
  • Develop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2018
Length 194 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789130997
Vendor :
Facebook
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product Details

Publication date : Jul 26, 2018
Length 194 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789130997
Vendor :
Facebook
Category :

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Table of Contents

14 Chapters
Preface Chevron down icon Chevron up icon
1. First Steps Chevron down icon Chevron up icon
2. Introducing FastText Chevron down icon Chevron up icon
3. Creating Models Using FastText Command Line Chevron down icon Chevron up icon
4. The FastText Model Chevron down icon Chevron up icon
5. Word Representations in FastText Chevron down icon Chevron up icon
6. Sentence Classification in FastText Chevron down icon Chevron up icon
7. Using FastText in Your Own Models Chevron down icon Chevron up icon
8. FastText in Python Chevron down icon Chevron up icon
9. Machine Learning and Deep Learning Models Chevron down icon Chevron up icon
10. Deploying Models to Web and Mobile Chevron down icon Chevron up icon
11. Notes for the Readers Chevron down icon Chevron up icon
12. References Chevron down icon Chevron up icon
13. Other Books You May Enjoy Chevron down icon Chevron up icon
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