Print a Prepared Topic Corpus

Shows what the corpus holds and can be reused for: document and unit counts, the segmentation level, and whether embeddings are attached.

Usage

# S3 method for class 'sbert_topic_corpus'
print(x, ...)

Arguments

x

An `sbert_topic_corpus` object.

...

Ignored.

Value

The corpus object, invisibly.

Examples

text <- c(
  "Cats chase mice", "Dogs chase balls",
  "Stocks and bonds trade", "Markets price shares"
)
embeddings <- rbind(c(1, 0), c(0.9, 0.1), c(0, 1), c(0.1, 0.9))
print(topic_corpus(text, embeddings = embeddings))
#> <sbert_topic_corpus>
#>   documents: 4 
#>   embedding dimension: 2 
#>   model: precomputed embeddings 
#>   tokenization: min_token_length = 2