PATENT CLAIM ANALYSIS

Application Number: 15768339
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["719", "320000"]

Abstract:
When data output is requested by an application whose default output setting is set ineffective among a plurality of applications, an output setting updating part ( 120 ) updates an output setting of the requesting application from ineffective to effective and updates an output setting of another application which outputs data to the same output destination as the output destination of the requesting application and whose default output setting is set effective, from effective to ineffective. An output control part ( 160 ) outputs data of an application whose output setting is effective.

Claim (Index 15):
A data processing method comprising:\n updating, when data output is requested by an application whose default output setting is set ineffective among a plurality of applications, an output setting of the requesting application from ineffective to effective and updating an output setting of another application which outputs data to the same output destination as the output destination of the requesting application and whose default output setting is set effective, from effective to ineffective; and outputting data of an application whose output setting is effective.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 2.36585
- Patent Class: 719.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12877339', '12554045', '12859194', '10784940', '10026976']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4217837009449611
- 35 USC 102 Novelty (BERT): 0.4695884553132998
- Combined Prediction Score: 0.426564176381795
- Mean Citation Score: 120.9166908
- Max Citation Score: 129.55681
- Similarity Product: 96.86835728464128

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