Detecting Literary Elements in Literature and Their Importance Through Semantic Analysis and Literary Correlation
First Claim
1. A method for automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature, the method comprising:
- performing by a computer system natural language processing and deep semantic analysis of a digital work of literature to create annotations for one or more literary elements;
assigning by a computer system weights to one or more of the annotations according to importance and relevance of each annotation as determined by the natural language processing and the deep semantic analysis;
assigning by a computer system one or more interrelationships and type characteristics to the annotations; and
producing by a computer system an overall weight for one or more of the interrelationships as a digital output.
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Abstract
Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.
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Citations
13 Claims
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1. A method for automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature, the method comprising:
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performing by a computer system natural language processing and deep semantic analysis of a digital work of literature to create annotations for one or more literary elements; assigning by a computer system weights to one or more of the annotations according to importance and relevance of each annotation as determined by the natural language processing and the deep semantic analysis; assigning by a computer system one or more interrelationships and type characteristics to the annotations; and producing by a computer system an overall weight for one or more of the interrelationships as a digital output. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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Specification