Draws the merge tree as a dendrogram labeled with topic labels, with cosine distance on the height axis. Early merges at small heights are near-duplicate topics.
Usage
# S3 method for class 'sbert_topic_hierarchy'
plot(x, main = "Topic hierarchy", cex = 0.8, ...)Examples
text <- c(
"Cats chase mice", "Dogs chase balls", "Kittens nap in sunshine",
"Stocks and bonds trade", "Markets price shares", "Banks report profit"
)
embeddings <- rbind(
c(1, 0), c(0.95, 0.05), c(0.9, 0.1),
c(0, 1), c(0.05, 0.95), c(0.1, 0.9)
)
tree <- topic_hierarchy(topics(text, 3, embeddings = embeddings, n_terms = 3))
plot(tree)
