PATENT CLAIM ANALYSIS

Application Number: 15953642
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["704", "009000"]

Abstract:
A computer-implemented method for electronically identifying new content in a digital document. The method includes receiving a digital document, utilizing a NLP pipeline to identify one or more articles of subject matter content, together with their respective relationships, contained within the digital document. The method further includes generating, by the NLP pipeline, a knowledge graph, based on the one or more relationships between the one or more articles of subject matter content contained within the digital document, and comparing the generated knowledge graph to one or more stored knowledge graphs based on a novelty-criteria, to determine whether the identified one or more articles of subject matter content, together with their respective relationships, are represented in the one or more stored knowledge graphs. The method further includes communicating one or more portions of the digital document that were determined to not be contained within the one or more stored knowledge graphs.

Claim (Index 11):
The computer program product of  claim 10 , wherein the pre-defined set of digital documents are customizable by a user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.60317
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14627430', '15609800', '14792583', '14749733', '14059830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2833100770280178
- 35 USC 102 Novelty (BERT): 0.499794345723835
- Combined Prediction Score: 0.3049585038975996
- Mean Citation Score: 184.100008
- Max Citation Score: 193.86134
- Similarity Product: 116.3184032170248

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

Dataset: test