Creates a faceted bar plot showing the top terms and their probabilities (beta values) for each topic in a topic model.
Usage
plot_word_probability(
top_topic_terms,
topic_label = NULL,
ncol = 3,
height = 1200,
width = 800,
ylab = "Word probability",
title = NULL,
colors = NULL,
measure_label = "Beta",
...
)Arguments
- top_topic_terms
A data frame containing topic terms with columns: topic, term, and beta.
- topic_label
Optional topic labels. Can be either a named vector mapping topic numbers to labels, or a character string specifying a column name in top_topic_terms (default: NULL).
- ncol
Number of columns for facet wrap layout (default: 3).
- height
The height of the resulting Plotly plot, in pixels (default: 1200).
- width
The width of the resulting Plotly plot, in pixels (default: 800).
- ylab
Y-axis label (default: "Word probability").
- title
Plot title (default: NULL for auto-generated title).
- colors
Color palette for topics (default: NULL for auto-generated colors).
- measure_label
Label for the probability measure (default: "Beta").
- ...
Additional arguments passed to plotly::ggplotly().
See also
Other topic_modeling:
plot_topic_effects_categorical(),
plot_topic_effects_continuous(),
plot_topic_probability()