This chapter's required packages
Setting up the packages for this chapter may be a bit cumbersome because some of the packages depend on operating system libraries which can vary from computer to computer. Please check Appendix, Required Packages for specific instructions on how to install them for your operating system.
Package | Reason |
| Cosine similarity computation |
| Efficient SVD decomposition |
| Machine learning framework |
| Interface to Twitter's API |
| Text data processing |
| Text data sentiment analysis |
| Random forest models |
We will use the rilba package (which depends on C code) to compute a part of the Singular Value Decomposition (SVD) efficiently using the Augmented Implicitly Restarted Lanczos Bidiagonalization Methods, by Baglama and Reichel, 2005, http://www.math.uri.edu/~jbaglama/papers/paper14.pdf).
We will use the parallel package to perform parallel processing since some text analysis can potentially require a lot of computations. The parallel package...
