We have recently updated our web application for visualizing social media sentiment. Recent social media posts are requested based on user-chosen keywords. An estimate of each post'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 posts were posted, and as a list of posts and their associated sentiment measurements.

• Social media sentiment visualization homepage