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R Deep Learning Projects

You're reading from   R Deep Learning Projects Master the techniques to design and develop neural network models in R

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478403
Length 258 pages
Edition 1st Edition
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Authors (2):
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Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
Pablo Maldonado Pablo Maldonado
Author Profile Icon Pablo Maldonado
Pablo Maldonado
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Toc

Warm-up – data exploration

Let's get things moving with a tiny example. Let's look at this tiny reviews corpus:

text <- c("The food is typical Czech, and the beer is good. The service is quick, if short and blunt, and the waiting on staff could do with a bit of customer service training",
"The food was okay. Really not bad, but we had better",
"A venue full of locals. No nonsense, no gimmicks. Only went for drinks which were good and cheap. People friendly enough.",
"Great food, lovely staff, very reasonable prices considering the location!")

We will do some simple analysis here, which will help us appreciate some of the subtleties of sentiment analysis.

Working with tidy text

...
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