My collaborators and I are looking into how we can derive relationships between observations, documents, and documents with observations. Here we first debute the use of Venn diagrams with wordclouds, network analysis, and chord diagrams for deriving relationships between sensory attributes. When there are product category types, these can be used to group the attributes and then find the overlap between the groups. Previously, we had to draw separate wordclouds to display the sensory profile attributes of each group with descriptive commentary for each. In this composite approach, we map the wordclouds for each group, seperating the attributes unique to each group and those that overlap as well as the added frequency of each attribute. Naturally, in further developments of this composite visualization, we will add elements of frequency in the intersection, to indicate what the coontribution is from each group.
