This functions plots wordclouds of topics from a Topic Model based on their significance determined by a linear or binary regression

This functions plots wordclouds of topics from a Topic Model based on their significance determined by a linear or binary regression

textTopicsWordcloud(
  model,
  test,
  color_negative_cor = ggplot2::scale_color_gradient(low = "darkred", high = "red"),
  color_positive_cor = ggplot2::scale_color_gradient(low = "darkgreen", high = "green"),
  scale_size = FALSE,
  plot_topics_idx = NULL,
  p_threshold = 0.05
)

Arguments

model

(data.frame) The model returned from textTopics().

test

(data.frame) the test returned from textTopicTest()

color_negative_cor

(ggplot2::scale_color_gradient()) color gradient of topic cloud with negative correlation

color_positive_cor

(ggplot2::scale_color_gradient) color gradient of topic cloud with positive correlation

scale_size

(bool) if True, then the size of the topic cloud is scaled by the prevalence of the topic

plot_topics_idx

(list) if specified, then only the specified topics are plotted

p_threshold

(float) set significance threshold which determines which topics are plotted