PATENT CLAIM ANALYSIS

Application Number: 16255459
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-09
Patent Classification: ["715", "234000"]

Abstract:
A method of content production (e.g., content editing) uses Artificial Intelligence (AI)-based content modeling to facilitate content production (e.g., a content editing recommendation) In one embodiment, an automated process (such as a content editor) is configured to receive and render content. For a given portion of the content, and as the given portion of the content is being rendered, the given portion is processed to generate a content model. With respect to a concept that is expressed in or otherwise associated with the content, the system then compares the content model with a target content derived model to generate a content insight relevancy score. The target content derived model is one generated by (a) identifying a set of target content portions in which the concept is expressed, (b) generating from each content portion an associated target content model; and (c) performing a vector operation on one or more of the associated target content models. Preferably, each associated target content model is built using an Artificial Intelligence (AI)-based content analysis. The content insight relevancy score is then used to generate at least one content production recommendation.

Claim (Index 21):
Apparatus, comprising:\n one or more hardware processors; computer memory associated with the one or more hardware processors and that hold computer program instructions, the computer program instructions executed in the one or more hardware processors and configured as program code to:\n provide an automated process configured to receive and render content; \n for a given portion of the content, and as the given portion of the content is being rendered, process the given portion to generate a content model; \n with respect to a concept that is expressed in or otherwise associated with the content, compare the content model with a target content derived model to generate a content insight relevancy score, the target content derived model having been generated by (a) identifying a set of target content portions in which the concept is expressed, (b) generating from each content portion an associated target content model, wherein at least one associated target content model is built using an Artificial Intelligence (AI)-based content analysis; and (c) performing a vector operation on one or more of the associated target content models; and \n use the content insight relevancy score to generate at least one content production recommendation.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.47727
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15662271', '12772166', '13688306', '12772168', '12405772']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2493642906716054
- 35 USC 102 Novelty (BERT): 0.4731700820825785
- Combined Prediction Score: 0.2717448698127027
- Mean Citation Score: 143.41871799999996
- Max Citation Score: 145.86783
- Similarity Product: 103.00581077208638

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