Last week, in part 1 of our text analytics series, we talked about text processing for machine learning. We wrote about how we have to transform text into a numeric table, called a term frequency matrix, so that our machine learning algorithms can apply mathematical computations to the text. However, we found that our textual data requires some data cleaning.
This is a companion discussion topic for the original entry at https://blog.datasciencedojo.com/text-analytics/