Summary
The preceding examples and quick theoretical background introduced text mining algorithms to structure plain English texts into numbers for further analysis. In the next chapter, we will concentrate on some similarly important methods in the process of data analysis, such as how to polish this kind of data in the means of identifying outliers, extreme values, and how to handle missing data.
Get Mastering Data Analysis with R now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
