PATENT CLAIM ANALYSIS

Application Number: 15865640
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["706", "012000"]

Abstract:
A method of identifying location data in a data set comprises generating a data sample from the data set, training a plurality of models with the data sample to identify the location data in the data set, and applying the data set to the trained models to determine the location data within the data set. The plurality of models includes one or more first models to identify primary attributes of the location data indicating a geographical area and one or more second models to identify secondary attributes of the location data used to determine corresponding primary attributes.

Claim (Index 6):
The method of  claim 5 , wherein extracting the header features includes:\n identifying aliases within the data sample used to represent a name of the corresponding primary attribute; categorizing the identified aliases into categories each representing a corresponding header feature; and creating a header feature set based on the categories and utilize the header feature set to identify the header of columns of the corresponding primary attribute.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.40476
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10177517', '15210889', '13928980', '14874542', '10825488']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3822811324054238
- 35 USC 102 Novelty (BERT): 0.473892096775115
- Combined Prediction Score: 0.391442228842393
- Mean Citation Score: 156.778464
- Max Citation Score: 164.44415
- Similarity Product: 118.59157149805424

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