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 8):
The method of  claim 1 , further comprising issuing a message indicating the kit that was labeled as generating the at least one locator.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.26471
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15200530', '13742153', '15196072', '13726475', '15368349']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2600617103818839
- 35 USC 102 Novelty (BERT): 0.5308276494238465
- Combined Prediction Score: 0.2871383042860801
- Mean Citation Score: 208.492518
- Max Citation Score: 366.17862
- Similarity Product: 251.60737310977223

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

Dataset: test