Detecting literary elements in literature and their importance through semantic analysis and literary correlation

A computer program product comprising:

• a tangible, computer readable memory device;
• and
• program instructions encoded by the computer readable memory device for causing one or more processors to perform operations of:
• creating one or more digital annotations, using natural language processing and deep semantic processing, for one or more non-plot device literary elements interrelated with one or more plot devices within a literary plot in a digital work of literature, wherein the one or more plot devices are distinguished from general theme and general plot;
• assigning weights to the one or more created annotations according to an importance level and a relevance level of each created annotation as determined by computer-performed deep semantic analysis;
• identifying a shift within the literary plot for one or more of the plot devices;
• augmenting the importance level and the relevance level associated with each respective annotated interrelationship to yield an overall weight for each of the interrelationships before, after or between the shift within the literary plot;
• and
• producing an output depiction, on a user interface device, the annotations, the interrelationships, and the overall weights.

A 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:
• creating one or more digital annotations, using natural language processing and deep semantic processing, for one or more non-plot device literary elements interrelated with one or more plot devices within a literary plot in a digital work of literature, wherein the one or more plot devices are distinguished from general theme and general plot;
• assigning weights to the one or more created annotations according to an importance level and a relevance level of each created annotation as determined by computer-performed deep semantic analysis;
• identifying a shift within the literary plot for one or more of the plot devices;
• augmenting the importance level and the relevance level associated with each respective annotated interrelationship to yield an overall weight for each of the interrelationships before, after or between the shift within the literary plot;
• and
• producing an output depiction, on a user interface device, the annotations, the interrelationships, and the overall weights.