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Mastering Machine Learning with R

You're reading from   Mastering Machine Learning with R Advanced machine learning techniques for building smart applications with R 3.5

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789618006
Length 354 pages
Edition 3rd Edition
Languages
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Table of Contents (16) Chapters Close

Preface 1. Preparing and Understanding Data 2. Linear Regression FREE CHAPTER 3. Logistic Regression 4. Advanced Feature Selection in Linear Models 5. K-Nearest Neighbors and Support Vector Machines 6. Tree-Based Classification 7. Neural Networks and Deep Learning 8. Creating Ensembles and Multiclass Methods 9. Cluster Analysis 10. Principal Component Analysis 11. Association Analysis 12. Time Series and Causality 13. Text Mining 14. Creating a Package 15. Other Books You May Enjoy

Text Mining

"What then is, generally speaking, the truth of history? A fable agreed upon. As it has been very ingeniously remarked"
- Napoleon Bonaparte

The world is awash with textual data. If you Google, Bing, or Yahoo! how much of that data is unstructured, that is, in a textual format, estimates would range from 80 to 90 percent. The real number doesn't matter. It matters that a large proportion of the data is in text format. The implication is that anyone seeking to find insights in that data must develop the capability to process and analyze text.

When I first started out as a market researcher, I used to manually pore through page after page of moderator-led focus group and interview transcripts with the hope of capturing some qualitative insight, an aha moment if you will, and then haggle with fellow team members over whether they had the same insight or...

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