5. A computer system for automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature, the computer system comprising: a processor and a tangible, computer readable memory device; and program instructions encoded by the computer readable memory device for causing the processor to perform operations of: performing deep semantic analysis of a digital work of literature to create annotations for one or more literary elements, wherein the deep semantic analysis comprises a combination of information retrieval operations, natural language processing, knowledge representation, and machine learning; assigning weights to one or more of the annotations according to importance and relevance of each annotation as determined by the deep semantic analysis; identifying, from the deep semantic analysis, one or more plot devices within each literary plot in the digital work of literature, wherein the one or more plot devices are distinguished from general theme and general plot, associating the one or more plot devices with one or more non-plot device literary elements, and identifying a theme for each of the one or more plot devices; combining the importance and relevance weights associated with each respective interrelationship to yield an overall weight for each of the interrelationships; and producing an output depiction on a user interface device, the annotations, the interrelationships, and the overall weights, for facilitating the user to easily and conveniently see an overall make-up of the work of literature, to be informed of where each literary element exists in that make-up, and to understand relative strengths of each literary element within the context of the make-up.
5. A computer system for automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature, the computer system comprising: a processor and a tangible, computer readable memory device; and program instructions encoded by the computer readable memory device for causing the processor to perform operations of: performing deep semantic analysis of a digital work of literature to create annotations for one or more literary elements, wherein the deep semantic analysis comprises a combination of information retrieval operations, natural language processing, knowledge representation, and machine learning; assigning weights to one or more of the annotations according to importance and relevance of each annotation as determined by the deep semantic analysis; identifying, from the deep semantic analysis, one or more plot devices within each literary plot in the digital work of literature, wherein the one or more plot devices are distinguished from general theme and general plot, associating the one or more plot devices with one or more non-plot device literary elements, and identifying a theme for each of the one or more plot devices; combining the importance and relevance weights associated with each respective interrelationship to yield an overall weight for each of the interrelationships; and producing an output depiction on a user interface device, the annotations, the interrelationships, and the overall weights, for facilitating the user to easily and conveniently see an overall make-up of the work of literature, to be informed of where each literary element exists in that make-up, and to understand relative strengths of each literary element within the context of the make-up. 6. The computer system as set forth in claim 5 wherein the annotations include one or more annotations selected from the group consisting of humor, imagery, adventure, character, character mood, and suspense.