PATENT CLAIM ANALYSIS

Application Number: 15955823
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["719", "318000"]

Abstract:
A system and method involves detecting operational social disruptive events on a global scale, modeling data in conjunction with linguistics analysis to establish responsive actions, and generating visualization and executing models for communicating information.

Claim (Index 37):
A system for detecting food security events or precursors to food security events, the system comprising:\n an information collection and processing subsystem comprising at least one repository database stored in non-transitory computer readable storage media containing documents downloaded from at least one publicly available information source; an information analysis and reporting subsystem that stores indications and warnings associated with food security events and searches the documents for the indications and warnings associated with food security events; a text classification system that uses a machine learning model or a combination of machine learning models to identify one or more documents that suggest that a food security event or a precursor to a food security event is unfolding based on the indications and warnings; and an information communications subsystem that outputs the documents that suggest that a food security event or a precursor to a food security event is unfolding.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 91.0
- Lexical Diversity: 1.08824
- Patent Class: 719.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14218123', '12230397', '15274587', '13090742', '13192160']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4991567092176061
- 35 USC 102 Novelty (BERT): 0.5618287601821847
- Combined Prediction Score: 0.505423914314064
- Mean Citation Score: 328.932968
- Max Citation Score: 471.53635
- Similarity Product: 328.22057186360666

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

Dataset: test