top_terms {Goodreader} | R Documentation |
Extract and print top terms for each topic
Description
This function extracts the top terms for each topic in the LDA model and optionally prints them.
Usage
top_terms(lda_model, n = 10, verbose = TRUE)
Arguments
lda_model |
An LDA model |
n |
The number of top terms to extract for each topic |
verbose |
Logical; if TRUE, print the top terms to the console (default is TRUE) |
Value
A list of character vectors, each containing the top terms for a topic.
Examples
# Create a temporary file with sample book IDs
temp_file <- tempfile(fileext = ".txt")
writeLines(c("1420", "2767052", "10210"), temp_file)
# Scrape reviews
reviews <- scrape_reviews(temp_file, num_reviews = 5, use_parallel = FALSE)
# Preprocess the reviews
preprocessed <- preprocess_reviews(reviews, english_only = TRUE)
# Fit LDA model
lda_model <- fit_lda(preprocessed$dtm, k = 2)
# Print top terms
top_terms(lda_model, n = 5)
# Clean up: remove the temporary file
file.remove(temp_file)
[Package Goodreader version 0.1.1 Index]