U.S. Mood Throughout the Day (as inferred from Twitter)
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The mood in the U.S., as inferred using over 300 million tweets, over the course of the day.

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By gauging the mood of messages on Twitter, a group of researchers from the Northeastern University College of Computer and Information Sciences set out to determine how happy or sad Americans are at different times of the day and week.   Some of the results are more obvious than others. For example, during the workweek people are happier in the early morning and late evening, before and after the daily grind. The research also found that people are much happier on weekends.
The researchers used a 'word-rating' system. A low-scoring word (such as "sad", "hate") was rated as a negative while a high-scoring word (e.g. "happy", "glad", "love" "joy") got a positive rating. The size of the dynamic map shows the volume of tweets sent.
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