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An example of failing at text analysis

Early on, you discussed the power of removing stop words before conducting text analysis. In this most recent chapter, you reviewed using cosine similarity to identify texts that are similar to each other.

In this exercise, you will explore the very real possibility of failing to use text analysis properly. You will compute cosine similarities for the chapters in the book Animal Farm, without removing stop-words.

This exercise is part of the course

Introduction to Natural Language Processing in R

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Exercise instructions

  • Review the provided code to create word counts. This has been completed for you.
  • Using the pairwise_similarity() function from widyr, calculate the cosine similarities for each chapter in the chapter column.
  • Arrange the results with the highest similarity values first.
  • Calculate the average mean of the similarity values.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create word counts
animal_farm_counts <- animal_farm %>%
  unnest_tokens(word, text_column) %>%
  count(chapter, word)

# Calculate the cosine similarity by chapter, using words
comparisons <- animal_farm_counts %>%
  ___(___, ___, n) %>%
  arrange(desc(___))

# Print the mean of the similarity values
comparisons %>%
  summarize(mean = ___(___))
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