PATENT CLAIM ANALYSIS

Application Number: 16055625
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

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.

Claim (Index 17):
A computer system comprising:\n 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:\n accessing or receiving annotations for one or more literary elements of a digital work of literature, wherein the annotations were created by a combination of one or more computer operations selected from the group consisting of information retrieval operations, natural language processing, knowledge representation, and machine learning; \n assigning weights to one or more of the annotations according to importance and relevance of each annotation as determined by the deep semantic analysis; \n identifying 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; \n associating the one or more plot devices with one or more non-plot device literary elements, \n identifying a theme for each of the one or more plot devices; \n combining the importance and relevance weights associated with each respective interrelationship to yield an overall weight for each of the interrelationships; and \n producing an output depiction, on a user interface device, the annotations, the interrelationships, and the overall weights.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 1.84483
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14489652', '14094889', '14094911', '14488424', '14094934']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.252658875731577
- 35 USC 102 Novelty (BERT): 0.531313637505547
- Combined Prediction Score: 0.280524351908974
- Mean Citation Score: 285.436186
- Max Citation Score: 357.97626
- Similarity Product: 338.9852205919719

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test