Detecting Sadness in 140 Characters:
Sentiment Analysis and Mourning
Michael Jackson on Twitter
By Elsa Kim and Sam Gilbert
with Michael J. Edwards and Erhardt Graeff
Michael Jackson's death created an emotional outpouring of
unprecedented magnitude on Twitter. In this report, we examine
1,860,427 tweets about Jackson's death in order to test various
methods of sentiment analysis and gain insights into how people
express emotion on Twitter.
Key findings
* At its peak, the conversation about Michael Jackson's death on
Twitter proceeded at a rate of 78 tweets per second.
* Users tweeting about Jackson's death tend to use far more words
associated with negative emotions than are found in 'everyday' tweets.
* Roughly 3/4 of tweets about Jackson's death that use the word
"sad" actually express sadness, suggesting that sentiment analysis
based on word usage is fairly accurate.
* That said, there is extensive disagreement between human coders
about the emotional content of tweets, even for emotions that we
might expect would be clear (like sadness).
* Tweets expressing personal, emotional sadness about the
Jackson's death showed strong agreement among coders while commentary
on the auxiliary social effects of Jackson's death showed strong
disagreement.
* We argue that this pattern in the "understandability" of
certain types of communication across Twitter is due to the way the
platform structures the expression of its users.
...
http://www.webecologyproject.org/2009/08/detecting-sadness-in-140-characters/
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