Get startedGet started for free

Visualizing sentiment by complaint type

Now let's create a sentiment_twitter data frame and see whether or not complaints really are more negative, on average.

This exercise is part of the course

Introduction to Text Analysis in R

View Course

Hands-on interactive exercise

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

sentiment_twitter <- tidy_twitter %>% 
  # Append the bing sentiment dictionary
  ___(___) %>% 
  # Count by complaint label and sentiment
  ___(___) %>% 
  # Spread the sentiment and count columns
  ___(___) %>% 
  # Compute overall_sentiment = positive - negative
  ___(___)
Edit and Run Code