Visualizing the NRC sentiments
We've seen how visualizations can give us a better idea of patterns in data than counts alone. Let's visualize the sentiments from the nrc dictionary. I've loaded the tidyverse and tidytext packages for you already.
Questo esercizio fa parte del corso
Introduction to Text Analysis in R
Istruzioni dell'esercizio
- Extract the
nrcdictionary, count the sentiments and reorder them by count to create a new factor column,sentiment2. - Visualize
sentiment_countsusing the new sentiment factor column. - Change the title to "Sentiment Counts in NRC", x-axis to "Sentiment", and y-axis to "Counts".
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Pull in the nrc dictionary, count the sentiments and reorder them by count
sentiment_counts <- ___(___) %>%
___(___) %>%
___(sentiment2 = ___(___, ___))
# Visualize sentiment_counts using the new sentiment factor column
___(___, aes(___, ___)) +
geom_col() +
coord_flip() +
# Change the title to "Sentiment Counts in NRC", x-axis to "Sentiment", and y-axis to "Counts"
___(
___ = ___,
___ = ___,
___ = ___
)