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.
Este exercício faz parte do curso
Introduction to Text Analysis in R
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
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
___(___)