Talk I gave at the Data Science Summit/Dato conference 2015.
Video recording of talk: https://www.youtube.com/watch?v=tGxW2BzC_DU
The majority of the talk was walking through the visualization found in this notebook:
Abstract from conference:
Visualizing Topic Models
Topic models are a versatile tool for data scientists. They can be used, as originally intended, to cluster and explore a corpus of documents or they can be seen as a dimension-reduction technique which provides probabilistic and interpretable results. In this short talk I’ll give an introduction to topic models, how to use them in GraphLab Create, and how to interpret the latent structure they reveal. I will demonstrate pyLDAvis which is a visualization tool for topic models. I’ll show how the visualization can be used to help develop a topic model and also share the results with others.