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 2):
The method as set forth in  claim 1  further comprising assigning interrelationships and type characteristics by correlating and matching literary elements to each other, and wherein the combining to yield the overall weight comprises assigning overall weights to one or more correlated and matched literary elements.

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): 0.253544394796968
- 35 USC 102 Novelty (BERT): 0.5333138551644901
- Combined Prediction Score: 0.2815213408337202
- Mean Citation Score: 285.436186
- Max Citation Score: 357.97626
- Similarity Product: 272.5699252834117

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