Clustering & Topic Modelling
Topic modelling aims to discover content-related patterns, or topics, in a collection of texts. It has commonalities with clustering techniques that group documents in an unsupervised way, and which we also cover here.
Lecture Slides
Lab
In this lab, you will look at k-means clustering and topic modelling with LDA, using a dataset of academic paper abstracts from arXiv.
Reading Material
- Blei (2012), a review article on topic modelling
- Chapters 16 & 17 of Manning, Raghavan and Schütze (2008) on clustering