From the course: Data Science Foundations: Data Mining in R
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Dataset: The Iliad
From the course: Data Science Foundations: Data Mining in R
Dataset: The Iliad
- [Narrator] I may be a data person but it turns out that I really love art. I have a background in design, I'm married to an artist and I'm really happy to be working on this section of text mining, because it allows me to engage a little bit with some literature. In this particular case I'm going to be using an example of the Iliad by Homer, as a way of demonstrating three different approaches to text mining. To do this, we're going to download the Iliad from Project Gutenberg, an online site that has over 60,000 free books. They're free from copyright, and one of the great places for learning how to work with data. Now, the easiest way to do this is with a package called gutenbergr which imports Gutenberg texts, and helps get them set up. I've actually done some of this for you already but let's start by loading these packages. And I'm also making a point of downloading tidytext. This is one of the great packages…
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Contents
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Text mining overview4m 34s
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Dataset: The Iliad2m 39s
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Sentiment analysis: Binary classification6m 24s
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Sentiment analysis: Sentiment scoring7m 24s
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Visualizing Word pairs6m 36s
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Challenge: Sentiment scoring1m 10s
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Solution: Sentiment scoring4m 13s
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