PATENT CLAIM ANALYSIS

Application Number: 15975189
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["705", "030000"]

Abstract:
The disclosed embodiments include systems and methods for extracting information from a transaction description. In one embodiment, a system is disclosed that may include one or more processors and one or more memory devices storing instructions that, when executed by the one or more processors, performs operations consistent with the disclosed embodiments. In one embodiment, the operations may include receiving a transaction description. The operations may also include identifying known location information corresponding to the transaction description and determining whether information from the transaction description corresponds to the identified known location information. The operations may further include removing location information from the transaction description based on the determination. In another aspect, the operations may also include extracting additional location information from the transaction description that is not associated with the known location information.

Claim (Index 28):
The system of  claim 27 , wherein the one or more patterns associated with the relevant country include a pattern corresponding to a known zip code in the relevant country.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.44068
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14162850', '14549217', '15904227', '14472610', '15901519']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1245935023550951
- 35 USC 102 Novelty (BERT): 0.5301822106754616
- Combined Prediction Score: 0.1651523731871318
- Mean Citation Score: 230.47536800000003
- Max Citation Score: 340.91104
- Similarity Product: 170.90891751455308

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

Dataset: test