PATENT CLAIM ANALYSIS

Application Number: 16210796
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["382", "197000"]

Abstract:
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.

Claim (Index 14):
The method of  claim 11 , wherein the third representative data includes a distance between the reference data point and the unknown data point.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 98.0
- Lexical Diversity: 2.66667
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15099842', '13386500', '14000266', '13313684', '13313974']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3530999697565918
- 35 USC 102 Novelty (BERT): 0.5693931795570352
- Combined Prediction Score: 0.3747292907366361
- Mean Citation Score: 216.082732
- Max Citation Score: 369.74307000000016
- Similarity Product: 232.78688276790447

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

Dataset: test