It is my firm conviction that Text Analytics is a must-have skill of any practicing Data Scientist. From analyzing customer feedback in NSAT surveys, to scraping Microsoft’s internal job postings for analyzing popular technical skills, to segmenting customers via textual features, I have universally found that Text Analytics is a wildly useful skill.
Not surprisingly, I am often asked by students of our Bootcamp, folks that I mentor on Data Science, and my LinkedIn contacts about the subject of Text Analytics. The good news is that there are many great resources for the R programmer to learn Text Analytics. What follows is a practical curriculum where the only required knowledge is basic R programming skills. I have read all of the books referenced below and can attest that studying the curriculum will have you mastering Text Analytics in no time!