PATENT CLAIM ANALYSIS

Application Number: 15760384
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["345", "633000"]

Abstract:
A data-driven information apparel product and a method of making the same is disclosed. The method includes defining individual data items in a data set on a hierarchical scale as common or uncommon based on a variation from a central tendency, wherein the data items are related to the intellectual property output and physical property output of an individual. Once defined, the data items may be sorted, structured, and correlated with one another, such as correlating an item in the common data set with an item in the uncommon data set to form a correlative data item. A mathematical grid, algorithm, or equation may then be applied to the uncommon data in the correlative data item to modify the uncommon data of the correlative data item with one or more portion of the common data of the correlative data item. A user of the method may influence the data selection based on personal preferences. Digital illustrations, physical illustrations, and physical products may be manufactured based on the method and at least one modified correlative data item.

Claim (Index 2):
The computer-implemented method of  claim 1 , further comprising:\n rendering a digital illustration image based on the illustration data set.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.35802
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10340208', '13212673', '10752846', '11367024', '12500888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5571495414961735
- 35 USC 102 Novelty (BERT): 0.4963915938190897
- Combined Prediction Score: 0.5510737467284651
- Mean Citation Score: 120.2005982
- Max Citation Score: 124.600105
- Similarity Product: 72.78142514171869

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