Visualize topic prevalence — plot_topic

This function creates a bar plot of the overall prevalence of each topic.

Usage

plot_topic_prevalence(model_output)

Arguments

model_output: The output from model_topics function

Value

A ggplot object representing the bar plot of topic prevalence.

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
#> 2024-10-25 03:02:05.775946 scrape_goodreads_reviews: Completed! All book reviews extracted
#> Scraping run time = 8.04107546806335
#> Total books processed: 3

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

# Visualize topic distribution
plot_topic_prevalence(topic_results)


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