PATENT CLAIM ANALYSIS

Application Number: 16059399
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
An example method described herein involves receiving a data input; identifying a plurality of topics in the data input; determining an underrepresented set of data for a first set of topics of the plurality of topics based on a plurality of knowledge graphs associated with the first set of topics; calculating a score for each topic of the first set of topics based on a representative learning technique; determining that the score for a first topic of the first set of topics satisfies a threshold score; selecting a topic specific knowledge graph based on the first topic; identifying representative objects that are similar to objects of the data input based on the topic specific knowledge graph; generating representation data that is similar to the data input based on the representative objects to balance the underrepresented set of data with a set of data associated with a second set of topics of the plurality of topics; and performing an action associated with the representation data.

Claim (Index 17):
The device of  claim 13 , wherein the one or more processors, when generating the representation data, are to:\n identify an organizational structure of the objects of the data input; identify a characteristic of each of the objects of the data input; and map the representative objects to the objects of the data input based on the organizational structure and the characteristic of each of the objects according to the topic specific knowledge graph.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 3.14545
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14928210', '15687114', '15404932', '15040972', '14793033']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5606368963519008
- 35 USC 102 Novelty (BERT): 0.4950482897856098
- Combined Prediction Score: 0.5540780356952718
- Mean Citation Score: 224.936594
- Max Citation Score: 234.10284
- Similarity Product: 167.60994979728702

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

Dataset: test