Visualizing topics
Using what we've covered in previous chapters, let's visualize the topics produced by the LDA.
This exercise is part of the course
Introduction to Text Analysis in R
Exercise instructions
- Keep the top 10 highest word probabilities by topic.
- Create
term2
, a factor orderingterm
by word probability. - Plot
term2
and the word probabilities. - Facet the bar plot by (i.e.,
~
) topic.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
word_probs <- lda_topics %>%
# Keep the top 10 highest word probabilities by topic
___(___) %>%
___(___) %>%
___() %>%
# Create term2, a factor ordered by word probability
___(term2 = ___(___))
# Plot term2 and the word probabilities
___(___) +
geom_col() +
# Facet the bar plot by topic
___(___, scales = "free") +
coord_flip()