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 18):
The system of  claim 15 , wherein the external data source comprises city property records, county property records, city permit records, county permit records, post office address database, state business records, historical real estate listings, rental listings, demolition orders, dumpster orders, portable restroom orders, customer account information from third party companies, social media, phone records, address records, historical credit card history purchase records, satellite images, tax records, street views, online photographs, online videos, signs outside a property, demolition orders, dumpster orders, portable restroom orders, the Internet, or any combination thereof.

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): 0.1097881666030717
- 35 USC 102 Novelty (BERT): 0.4991525736986283
- Combined Prediction Score: 0.1487246073126274
- Mean Citation Score: 145.767014
- Max Citation Score: 160.16243
- Similarity Product: 95.53842318541408

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