Takes the current top trends in a country, searches the tweet stream for tweets with each trend, then passes each tweet into a natural language processor to calculate the sentiment polarity of each. An average is formed from the total polarity and a country's average sentiment is calculated.
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Generates the current mood of twitter and visualises it.
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