We have recently updated our web application for visualizing tweet sentiment. Recent tweets are requested based on user-chosen keywords. An estimate of each tweet's sentiment is made from its text. The results are visualized in numerous ways: in an emotional scatterplot with horizontal pleasure and vertical arousal axes, clustered by topic, in a heatmap that counts tweets by sentiment bins, as a tag cloud of frequent terms, as a timeline of when tweets were posted, as a map of where tweets were posted, and as a list of tweets and their associated sentiment measurements.
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