Conference article

People’s write-ups, such as online reviews and personal micro-blogs, often reflect their emotions, ranging from just- in-the-moment sentiment to long-lasting mood. In this talk, I will first give an overview on modeling human emotions encapsulated in people’s write-ups. I will then sample two visual analytic systems that use very different methods to automatically extract and visualize human emotions from text for two very different purposes. The first is an interactive visual analytic system that automatically summarizes human sentiment captured in online reviews and leverages the power of a crowd to rectify the imperfections in machine sentiment analysis. The second is a timeline-based visual analytic tool that extracts and visualizes a person’s moods over time based on the person’s tweets. Finally, I will discuss the challenges of inferring human emotional DNA from text in general and potential research directions.

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