Chapter 13. Text Analytics with R
In the previous chapter, we examined how to deal with nested data using multilevel analyses. In Chapter 11, Classifiation Trees we discovered how to classify data using decision trees. Here, we will deal with textual data. This chapter will cover the following topics:
- A brief introduction to text analytics
- How to load and preprocess text
- How to perform document classification
- How to perform basic topic modeling to extract meaning
- How to download news articles using R
An introduction to text analytics
It might come as a surprise, or not, textual data represents the greatest part of the overall data accessible to companies and data analysts. Textual data is often available only in unstructured form. Imagine, for instance, ...
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