This function calculates the average sentiment score for each book.
Examples
# \donttest{
# Create a temporary file with sample book IDs
temp_file <- tempfile(fileext = ".txt")
writeLines(c("1420", "2767052", "10210"), temp_file)
# Run the scrape_reviews function
reviews <- scrape_reviews(temp_file, num_reviews = 5, use_parallel = FALSE)
#> Total book IDs to process: 3
#> 2024-09-03 16:15:27.212047 scrape_goodreads_reviews: Completed! All book reviews extracted
#> Scraping run time = 9.39320826530457
#> Total books processed: 3
# Check if reviews were successfully scraped
if (nrow(reviews) > 0) {
# Perform sentiment analysis
sentiment_results <- analyze_sentiment(reviews, lexicon = "afinn")
# Calculate average sentiment score per book
avg_senti <- average_book_sentiment(sentiment_results)
# Display the results
print(avg_senti)
} else {
cat("No reviews found. Cannot calculate average sentiment.\n")
}
#> # A tibble: 3 × 2
#> book_id avg_sentiment
#> <chr> <dbl>
#> 1 10210 55.4
#> 2 1420 -72.7
#> 3 2767052 23.2
# Clean up: remove the temporary file
file.remove(temp_file)
#> [1] TRUE
# }