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 12):
The method of  claim 1 , wherein the score is calculated using the representative learning technique.

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): 0.5586805032291626
- 35 USC 102 Novelty (BERT): 0.5035740301126738
- Combined Prediction Score: 0.5531698559175138
- Mean Citation Score: 224.936594
- Max Citation Score: 234.10284
- Similarity Product: 148.96733194225789

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