πŸ—“οΈ Week 10 - Applications: Text as Data & Topic Modelling

Theme: Applications

Author

Dr. Ghita Berrada

Note

A few updates to the lecture material:

  • the dataset link has been fixed.
  • the lecture notebook has been slightly updated to fix a few typos (long name of LSA!) and to add an explanation on how you could go about interpreting the dimensions of Latent Semantic Analysis. You can also check other examples of LSA/LDA in πŸ’» last year’s W11 lab.

Welcome to the tenth week of this course!

In the lecture, you will learn how to treat text as data. We will see how all the different supervised and unsupervised learning techniques you’ve learned so far can be used to extract insights from text.

πŸ‘©πŸ»β€πŸ« Lecture Material

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact πŸ“§ .

Download the Quarto markdown file for this lecture:

Download some of the data for this lecture: