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You're reading from fastText Quick Start Guide Get started with Facebook's library for text representation and classification

Product type Paperback

Published in Jul 2018

Publisher Packt

ISBN-13 9781789130997

Length 194 pages

Edition 1st Edition

Languages

Python

Tools

fastText

Concepts

Mobile Application Development

Author (1):

Joydeep Bhattacharjee

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Table of Contents (14) Chapters

Preface

1. First Steps FREE CHAPTER

2. Introducing FastText

3. Creating Models Using FastText Command Line

4. The FastText Model

5. Word Representations in FastText

6. Sentence Classification in FastText

7. Using FastText in Your Own Models

8. FastText in Python

9. Machine Learning and Deep Learning Models

10. Deploying Models to Web and Mobile

11. Notes for the Readers

12. References

13. Other Books You May Enjoy

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Summary

In this chapter, we took a look at the methodologies to implement fastText in a web and mobile context, focusing specifically on Android. We also took a look at the different considerations that you need to bear in mind, depending on whether you need to deploy on web or mobile. This should help you to create good applications and integrate fastText into your mobile applications.

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Authors (1)

Joydeep Bhattacharjee

Joydeep Bhattacharjee is a Principal Engineer who works for Nineleaps Technology Solutions. After graduating from National Institute of Technology at Silchar, he started working in the software industry, where he stumbled upon Python. Through Python, he stumbled upon machine learning. Now he primarily develops intelligent systems that can parse and process data to solve challenging problems at work. He believes in sharing knowledge and loves mentoring in machine learning. He also maintains a machine learning blog on Medium.

See other products by Joydeep Bhattacharjee