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
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(___)