Resource: Ways to Compute Topics over Time, Part 4

From the resource:

This is the last in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. The strategies I am considering are:

Average of topic weights per year (First Post)
Smoothing or regression analysis (Second Post)
Proportion of total weights per year (Third Post)
Prevalence of the top topic per year (Final Post)

To explore a range of strategies for computing and visualizing topics over time from a standard LDA model, I am using a model I created from my dissertation materials.

Read the full resource here.