Visualize topic distribution — plot_topic

This function creates a heatmap of the topic distribution across documents.

Usage

plot_topic_heatmap(model_output)

Arguments

model_output: The output from model_topics function

Value

A ggplot object representing the topic distribution heatmap.

Examples

# \donttest{
# 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 = 10, use_parallel = FALSE)
#> Total book IDs to process: 3
#> 2024-09-03 16:16:34.294255 scrape_goodreads_reviews: Completed! All book reviews extracted
#> Scraping run time = 10.4321348667145
#> Total books processed: 3

# Model topics
topic_results <- model_topics(reviews, num_topics = 2, num_terms = 5, english_only = TRUE)
#> Topic 1:  
#> fuck, hamlet, just, katniss, watch 
#> 
#> Topic 2:  
#> love, jane, book, time, read 
#> 

# Visualize topic distribution
plot_topic_heatmap(topic_results)


# Clean up: remove the temporary file
file.remove(temp_file)
#> [1] TRUE
# }