Brandon Walker

Data Scientist

Tutorial/Opinion: How I learned NLP

1 minutes
July 4, 2019

If you are looking at a lot of data science jobs or Kaggle competitions you’ll notice that there is a lot of demand for computer vision and nautral language processing (NLP). Here’s the steps I took to learn NLP

  1. This sounds like a unrelated first step, but I learned how to make use of Shiny in R.
  2. I read the book Text Mining With R by Julia Silge and David Robinson.
  3. Using my knowledge of Shiny and what I had learned from the book I built a web app to analyze tweets from users. Doing an actual project is the best way to learn, in my opinion.
  4. I took the following LinkedIn Learning courses. For the most part, this information was a repeat of the above, but done in python instead of R.

    • NLP with Python for Machine Learning Essential Training
    • Processing Text with Python Essential Training
    • Text Analytics and Predictions with Python Essential Training