5. The method as set forth in claim 1 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts, and wherein the method further comprises: aggregating, by a computer, a plurality of user ratings from the same user across the different electronic texts; cross-referencing, by a computer, one or more elements across the different electronic texts to infer commonalities and distinctions; and inferring, by a computer, one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the different electronic texts with a likely user rating.
6. The method as set forth in claim 5 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts forms an electronic model for each different electronic text, each model having a plurality of abstraction level, and wherein the cross-referencing comprises overlaying cross-sections within topographical nodes of two or more of the electronic models.