PATENT CLAIM ANALYSIS

Application Number: 16140942
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "110000"]

Abstract:
Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.

Claim (Index 7):
The method of  claim 1 , further comprising analyzing the metadata with a rules engine.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.57627
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15433355', '15401148', '14275427', '13909482', '13267373']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2470441745121176
- 35 USC 102 Novelty (BERT): 0.522803960206659
- Combined Prediction Score: 0.2746201530815717
- Mean Citation Score: 146.8961848
- Max Citation Score: 303.5575
- Similarity Product: 214.69359276011588

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