PATENT CLAIM ANALYSIS

Application Number: 16044822
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["382", "159000"]

Abstract:
In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classified based at least in part on the human-weighted loss function.

Claim (Index 18):
A system for data classification and identification, the system comprising:\n a database of training objects, the database comprising a storage medium populated with stored computer records specifying, for each of a plurality of training objects, psychometric data pertaining thereto; a computer processor; a classification device for receiving query objects different from the training objects; a penalization module, executable by the computer processor, for deriving a human-weighted loss function based at least in part on the psychometric data, the loss function comprising penalties for misclassification, magnitudes of the penalties increasing with increasing deviation from the classification data; and a classification module, executable by the computer processor, for classifying features of query objects based at least in part on the human-weighted loss function.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.7
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14900397', '15702809', '14155097', '15646563', '12011748']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3363040288798687
- 35 USC 102 Novelty (BERT): 0.5630553080520458
- Combined Prediction Score: 0.3589791567970865
- Mean Citation Score: 270.48561800000004
- Max Citation Score: 441.84872
- Similarity Product: 381.9710225375652

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

Dataset: test