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fastText Quick Start Guide

You're reading from  fastText Quick Start Guide

Product type Book
Published in Jul 2018
Publisher Packt
ISBN-13 9781789130997
Pages 194 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Joydeep Bhattacharjee Joydeep Bhattacharjee
Profile icon Joydeep Bhattacharjee
LinkedIn
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

Table of Contents (14) Chapters

Preface First Steps
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 References Other Books You May Enjoy

Gensim

Gensim is a popular open source library for processing raw, unstructured human-generated text created by Radim Řehůřek. Some of the features that Gensim boasts are:

  • Memory independence is one of the core value propositions of Gensim, which is that it should be scalable and not hold all the document in the RAM. Hence, you will be able to train documents that are significantly larger than the memory of your machine.
  • Gensim has efficient implementations of various popular vector space algorithms. There has been a recent implementation of fastText in gensim as well.
  • There are IO/wrappers and converters around several popular data formats as well. Remember that fastText only supports UTF-8 formats and hence Gensim might be a good choice if you have data that is in different formats.
  • Different algorithms for similarity queries. So, you are not stuck with the...
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Authors (1)

Profile icon Joydeep Bhattacharjee
LinkedIn
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

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