IU: Visualizing Our Global World: Correlation Between Article Tone and Emotion of Accompanying Images

A team of Indiana University students (Elizabeth Supinski, Hui Chen, Rusty Hann and Ding Li) explored the relationship of textual and visual emotion by creating a fascinating analytics pipeline involving a number of tools. Their paper includes the core workflow and a number of code samples capturing how they analyzed the data, as well as commentary on the unexpected complexity of analyzing data at these scales, offering a good starting point for others interested in building on their work and they even created an interactive demonstration site showcasing the final results!

Read The Full Article.
See The Interactive App.