LOL, this song is wicked good
Even with Zipf's law in action, you will still need to adjust lexicons to fit the text source (for example twitter versus legal documents) or the author's demographics (teenager versus the elderly). This exercise demonstrates the explicit components of polarity() so you can change it if needed.
In Trey Songz "Lol :)" song there is a lyric "LOL smiley face, LOL smiley face." In the basic polarity() function, "LOL" is not defined as positive. However, "LOL" stands for "Laugh Out Loud" and should be positive. As a result, you should adjust the lexicon to fit the text's context which includes pop-culture slang. If your analysis contains text from a specific channel (Twitter's "LOL"), location (Boston's "Wicked Good"), or age group (teenagers' "sick") you will likely have to adjust the lexicon.
In this exercise you are not adjusting the subjectivity lexicon or qdap dictionaries containing valence shifters. Instead you are examining the existing word data frame objects so you can change them in the following exercise.
We've created text containing two excerpts from Beyoncé's "Crazy in Love" lyrics for the exercise.
This exercise is part of the course
Sentiment Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Examine the key.pol
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# Negators
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# Amplifiers
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# De-amplifiers
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# Examine
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