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Machine Learning with R Quick Start Guide

You're reading from   Machine Learning with R Quick Start Guide A beginner's guide to implementing machine learning techniques from scratch using R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781838644338
Length 250 pages
Edition 1st Edition
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Author (1):
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Iván Pastor Sanz Iván Pastor Sanz
Author Profile Icon Iván Pastor Sanz
Iván Pastor Sanz
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Summary

In this chapter, you learned some introductory concepts of text-mining and topic extraction. You should now know how to read text files and process raw text to obtain useful common words. Also, you are now able to use the information collected in a text format in your own problems.

Depending on the amount of data and the type of problem you want to solve, you could now apply a variety of techniques, both simple and complex, used previously in this book.

Finally, and taking into account this chapter, you are ready to dive into other more recent and promising techniques, such as word2vec and doc2vec, which are both advanced techniques that allow you to discover relevant information or topics in a piece of text and documents. If you're curious, you can research these topics further.

I hope you got an in-depth view of machine learning and that this book has helped...

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