PATENT CLAIM ANALYSIS

Application Number: 16396584
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["705", "313000"]

Abstract:
Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status.

Claim (Index 25):
The method of  claim 24 , wherein the data set is defined by at least one of a street address, a parcel, a street, a lot, a zip code, a county, a state, an area drawn on a map, an area within a set radial distance from a location, coordinates set by one or more satellites, an area within a set driving distance of a location, a GPS point, an area code, or an area defined by at least three GPS points.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 100.0
- Lexical Diversity: 1.77273
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16000750', '16135099', '14923663', '15820260', '11070183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1096493931499197
- 35 USC 102 Novelty (BERT): 0.5004938586492642
- Combined Prediction Score: 0.1487338396998541
- Mean Citation Score: 145.767014
- Max Citation Score: 160.16243
- Similarity Product: 94.232586837188

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

Dataset: test