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
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
___(___)