Getting Sentiment Lexicons
So far you have used a single lexicon. Now we will transition to using three, each measuring sentiment in different ways.
The tidytext package contains a function called get_sentiments which along with the [textdata] package allows you to download & interact well researched lexicons. Here is a small section of the loughran lexicon.
| Word | Sentiment |
|---|---|
| abandoned | negative |
| abandoning | negative |
| abandonment | negative |
| abandonments | negative |
| abandons | negative |
This lexicon contains 4150 terms with corresponding information. We will be exploring other lexicons but the structure & method to get them is similar.
Let's use tidytext with textdata to explore other lexicons' word labels!
Questo esercizio fa parte del corso
Sentiment Analysis in R
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Subset to AFINN
afinn_lex <- get_sentiments("___")
# Count AFINN scores
afinn_lex %>%
___(value)