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CALSCALE:GREGORIAN
METHOD:PUBLISH
VERSION:2.0
PRODID:-//PlanIt Purple//EN
BEGIN:VEVENT
STATUS:CONFIRMED
LAST-MODIFIED:20110111T133941
URL:http://www.northwestern.edu/nico/
PRIORITY:0
CLASS:PUBLIC
UID:414533@northwestern.edu
SUMMARY:WEDNESDAYS@NICO PRESENTS: MEASURING THE PUBLIC MOOD STATE FROM LARGE - SCALE MICROBLOGGING
DESCRIPTION:We perform a sentiment analysis of all public tweets broadcast by Twitter users. For every day in the timeline\, we extract six dimensions of mood (tension\, depression\, anger\, vigor\, fatigue\, confusion) using an extended version of the Profile of Mood States (POMS)\, a well-established psychometric instrument. We compare our results to fluctuations recorded by the stock market and major socio-economic events\, such as the U.S. Presidential Election of November 4\, 2008 and Thanksgiving Day. We find that socio-economic events have a significant\, immediate and highly specific effect on the various dimensions of public mood. Long-term changes in the public mood state reflect the cumulative effect of various underlying socio-economic indicators http://www.northwestern.edu/nico/
DTSTART:20110119T120000
DTEND:20110119T130000
CREATED:20110111T000000
DTSTAMP:20110111T000000
SEQUENCE:0
LOCATION:Evanston
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