The idea of this chapter was to get you familiar with some of the generic dimensionality reduction methods and their implementation using R language. We discussed a few packages that provide functions to perform these tasks. We also covered a few custom functions that can be utilized to perform these tasks. Kudos, you have completed the basics of text mining with R. You must be feeling confident about various data mining methods, text mining algorithms (related to natural language processing of the texts) and after reading this chapter, dimensionality reduction.
If you feel a little low on confidence, do not be upset. Turn a few pages back and try implementing those tiny code snippets on your own dataset and figure out how they help you understand your data.
Remember this - to mine something, you have to get into it by yourself. This holds true for text as well.
