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 6):
The media of  claim 4 , wherein the semantic interpretation comprises lexical semantics, machine translation, named entity recognition, natural language generation, natural language understanding, optical character recognition, question answering, recognizing textual entailment, relationship extraction, sentiment analysis, topic segmentation, word sense disambiguation, 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): 0.108165149283607
- 35 USC 102 Novelty (BERT): 0.514927640124257
- Combined Prediction Score: 0.148841398367672
- Mean Citation Score: 145.767014
- Max Citation Score: 160.16243
- Similarity Product: 80.17574369783999

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