PATENT CLAIM ANALYSIS

Application Number: 15942373
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["706", "012000"]

Abstract:
Techniques for deriving additional features from input data are described herein. Input data from a plurality of source files are received. One or more features corresponding to the input data, which includes information about semantic types, is identified. The input data is then processed to generate additional features for the input data. New data corresponding to the additional features are then generated and access to the new data is subsequently provided.

Claim (Index 29):
A non-transitory computer-readable storage medium having stored thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to at least:\n process input data to identify a first feature and a second feature in the input data, the first feature and the second feature respectively corresponding to a first subset of the input data and a second subset of the input data, the first subset of input data having a first semantic type and the second subset of input data having a second semantic type; obtain first semantic metadata for the first feature and second semantic metadata for the second feature, the first and the second semantic metadata respectively indicating a first semantic context and a second semantic context for the first feature and the second feature; process the input data with the obtained first semantic metadata and the obtained second semantic metadata to generate a tagged set of data comprising the first subset of the input data, the second subset of the input data, the first semantic metadata, and the second semantic metadata; process the tagged set of data to derive, based at least in part on the first semantic context and the second semantic context, a third feature corresponding to a third semantic context associated with information about a relationship of both the first semantic context and the second semantic context; generate, from the tagged set of data, new data to correspond to the third feature; and provide access to the new data.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 90.0
- Lexical Diversity: 1.73333
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15335414', '15019550', '14747877', '11847848', '13165423']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2674901813390366
- 35 USC 102 Novelty (BERT): 0.4663647513254412
- Combined Prediction Score: 0.2873776383376771
- Mean Citation Score: 114.4825872
- Max Citation Score: 117.286026
- Similarity Product: 84.42242505157185

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

Dataset: test