PATENT CLAIM ANALYSIS

Application Number: 15925961
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["715", "209000"]

Abstract:
A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interface.

Claim (Index 17):
The method of  claim 15 , further comprising:\n automatically generating, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and outputting to a user interface to display the generated notification in a notification interface area of a user interface.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 90.0
- Lexical Diversity: 2.52941
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12972249', '12972205', '14729644', '15087355', '13423280']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.282625242711456
- 35 USC 102 Novelty (BERT): 0.4760227354403815
- Combined Prediction Score: 0.3019649919843485
- Mean Citation Score: 126.3107452
- Max Citation Score: 132.72346000000002
- Similarity Product: 84.13073354961872

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