load_topic_model() checks to see whether a cached topic model exists before creating one with make_topic_model() and caching it.
Arguments
- df
A data frame with nested text in a "text" column.
- k
The number of topics to search for. By default, 15 topics will be sought.
- by
The column for identifying each document. By default, the "title" column will be used.
- sample_size
The sample size for each document chunk. By default, samples will include 1000 words.
- lda_name
The name to use when looking caching the model in the "data" folder. By default, this value is derived from the name of the data frame passed into the function, but it may be helpful to define it explicitly if there are intervening steps before loading the topic model.
Examples
if (FALSE) { # \dontrun{
mysteries <- load_texts("mystery-novels", word = FALSE)
mysteries_lda <- mysteries |>
load_topic_model(k = 10)
} # }