Detecting literary elements in literature and their importance through semantic analysis and literary correlation
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United States of America Patent
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Sep 11, 2018
Grant Date -
Jun 4, 2015
app pub date -
Sep 18, 2014
filing date -
Dec 3, 2013
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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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