10. One or more computer storage media storing computer executable instructions which when executed by one or more processors implements a method for generating a multidimensional synopsis of a stream of textual data, the method comprising: accessing a stream of textual data that includes a number of elements of textual data, each element of textual data comprising plain text content that is associated with an author and is directed to a particular subject; identifying a first dimension and a second dimension for the stream of textual data, the first dimension including a number of concepts that each represent a subject attribute of the particular subject, the second dimension including a number of concepts that each represent an author attribute; generating machine learning classification training for the concepts in the first and second dimensions; for each of the number of elements of textual data, processing the element against the machine learning classification training to identify which concepts appear in the plain text content included in the element, and for each concept within the first dimension that appears in the plain text content included in the element, generating a quantitative value; identifying each intersecting set of concepts from the first and second dimensions; and for each intersecting set of concepts, generating a score from the corresponding quantitative values, the score representing a prevalence of the intersecting set of concepts within the stream of textual data.
13. The computer storage media of claim 10 , wherein identifying a first dimension and a second dimension for the stream of textual data further includes identifying one or more additional dimensions, each additional dimension including a number of concepts; and wherein identifying each intersecting set of concepts from the first and second dimensions comprises identifying at least some intersecting sets of concepts from the first, second, and one or more additional dimensions.