We present Luminoso, a tool that helps researchers to visualize and understand a dimensionality-reduced semantic space by exploring it interactively. It also streamlines the process of creating such a space, by inputting text documents and optionally including common-sense background information. This interface is based on the fundamental operation of “grabbing” a point, which simultaneously allows a user to rotate their view using that data point, view associated text and statistics, and compare it to other data points. This also highlights the point’s neighborhood of semanticallyassociated points, providing clues for reasons as to why the points were classified along the dimensions they were. We show how this interface can be used to discover trends in a text corpus, such as free-text responses to a survey. Author Keywords n-dimensional visualization, common sense, svd, natural language processing ACM Classification Keywords I.6.9 Simulation, Modeling, and Visualization: Vis...
Robert Speer, Catherine Havasi, K. Nichole Treadwa