PATENT CLAIM ANALYSIS

Application Number: 16242030
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["726", "023000"]

Abstract:
Methods and systems for classifying malicious locators. A processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.

Claim (Index 19):
The system of  claim 13 , wherein the processor is configured to assign weights to each of the extracted at least one feature associated with each of the plurality of training locators.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.26471
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15200530', '13742153', '15196072', '13726475', '15368349']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2842601189734722
- 35 USC 102 Novelty (BERT): 0.533557692931134
- Combined Prediction Score: 0.3091898763692384
- Mean Citation Score: 208.492518
- Max Citation Score: 366.17862
- Similarity Product: 215.1448158151817

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