my question relates to structural topic modeling in R, specifically to the stm package developed by Roberts et al. (https://cran.r-project.org/web/packages/stm/vignettes/stmVignette.pdf).
I implemented a structural topic model in order to investigate, whether there is a statistically significant difference in the vocabulary with which women and men describe certain topics. Thus my question relates to the word rates used in discussing a topic, the authors of the vignette refer to this as topical content analysis, see page 19.
The implementation of the code was successful and I manage to create a similar graph to the one shown in Figure 8 of the Vignette.
My question now is, how do I know whether the difference in the vocabulary with which in my case women and men describe topics is statistically significant?
And is there a way to plot this for all of my topics in one graph?
Thank you!
My code:
Estimate the Topic Model
stmContent2 <- stm(out$documents,
out$vocab,
K = 80,
prevalence =~ gender,
content =~ gender,
max.em.its = 75,
data = out$meta,
init.type = "Spectral",
seed = 8458302)
plot(stmContent2, type = "perspectives", topics = 11)