PATENT CLAIM ANALYSIS

Application Number: 16155844
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["715", "255000"]

Abstract:
A computer implemented method for identifying one or more data elements in an input data stream formed from an input data structure using processing enabled by a processor-executable instruction can be stored on a non-transitory computerized storage medium. This stored method includes identifying a marker sequence set in the input document string, the marker sequence set including a marker sequence; assigning an eligibility value to each marker sequence, the eligibility value being a number calculated using an eligibility calculation, to obtain at least one eligible marker sequence; generating output data comprising data related to the at least one eligible marker sequence; and providing the output data, such as on a human-readable interface.

Claim (Index 33):
The apparatus of  claim 31 , wherein the instructions, when executed by the one or more processors, cause the document processing apparatus to evaluate each marker sequence based on sequential markers in the respective marker sequences other than a initial marker, and\n wherein the at least one marker sequence eligibility criteria include one or more rules based on a cardinality of a sequential marker set comprising the sequential markers.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.77941
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10324509', '11613856', '10109251', '12701349', '12701290']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.287250083388817
- 35 USC 102 Novelty (BERT): 0.4910114087537056
- Combined Prediction Score: 0.3076262159253058
- Mean Citation Score: 148.47960600000005
- Max Citation Score: 151.17497
- Similarity Product: 86.65379726576685

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

Dataset: test