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Visualizing sentiment

Let's create a word_counts dataset and explore which words are associated with each sentiment in our Twitter data.

This exercise is part of the course

Introduction to Text Analysis in R

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Hands-on interactive exercise

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

word_counts <- tidy_twitter %>% 
  # Append the NRC dictionary and filter for positive, fear, and trust
  ___(___) %>% 
  ___(___) %>%
  # Count by word and sentiment and keep the top 10 of each
  ___(___) %>% 
  group_by(___) %>% 
  ___(___) %>% 
  ungroup() %>% 
  # Create a factor called word2 that has each word ordered by the count
  mutate(___)
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