PATENT CLAIM ANALYSIS

Application Number: 16204651
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["707", "748000"]

Abstract:
In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.

Claim (Index 7):
The method of  claim 6 , wherein the comparing comprises comparing the respective relationships and corresponding strengths populated in the first record with respective relationships and corresponding strengths populated in the respective other records of the data structure.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 98.0
- Lexical Diversity: 1.675
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15466590', '13949761', '14666423', '11493085', '14029710']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2057065195043451
- 35 USC 102 Novelty (BERT): 0.5209182318081037
- Combined Prediction Score: 0.237227690734721
- Mean Citation Score: 184.989732
- Max Citation Score: 315.973
- Similarity Product: 189.0758879931569

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