PATENT CLAIM ANALYSIS

Application Number: 15956514
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["726", "023000"]

Abstract:
A method for processing activity records. The method includes obtaining an activity record, and generating an anonymization dictionary. Generating the anonymization dictionary includes detecting, in the activity record, a set of target entities to be anonymized, making a determination that a resource is associated with a subset of the target entities of the set of target entities, and after making the determination, assigning an anonymized identity to the subset of target entities, and generating an anonymization identifier for each target entity in the subset of target entities to obtain a set of anonymization identifiers, each including the anonymized identity. The method further includes processing the activity record using the anonymization dictionary to obtain an anonymized activity record and storing the anonymized activity record.

Claim (Index 7):
The method of  claim 5 , wherein:\n for at least two target entities in the set of target entities, the entity type is identical; a unique instance identifier is assigned to each of the at least two target entities; and the unique instance identifiers are included in the anonymized identifiers for the at least two target entities.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 91.0
- Lexical Diversity: 2.7551
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14874265', '13117436', '14132945', '14075934', '11202549']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2931041679898208
- 35 USC 102 Novelty (BERT): 0.5858813480635954
- Combined Prediction Score: 0.3223818859971983
- Mean Citation Score: 279.377082
- Max Citation Score: 506.431
- Similarity Product: 425.18767848968497

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

Dataset: test