Kind classification through emergent semantic analysis

A goal of computer development is to understand the user and the data with which the user is engaged. If a better understanding of the user and their data can be accomplished, then additional information and features may be provided based upon the user's intent and interests. Accordingly, as provided herein, Kinds may be created as digital representations of everyday things. Kind classifications may be created to characterize the Kinds. The Kind classifications may be updated based upon user interaction to further characterize Kinds with which the user has interacted. For example, when a user writes an email about using orange peels as an air freshener, an orange Kind classification may be updated to reflect that an orange may be used as an air freshener. Kind feature vectors and user feature vectors may be created to represent the probabilities that the Kind or user relates to particular characteristics.