PATENT CLAIM ANALYSIS

Application Number: 16042719
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["705", "007130"]

Abstract:
A device receives a command to identify an automation evaluation for a role, determines tasks of the role based on data relating to the role, and determines activities for the tasks based on the data relating to the role. The device determines one or more automation scores, which correspond to a suitability for automation of the activities, based on a set of characteristics of the activities and based on the data relating to the role. The automation scores are determined using a machine learning model to parse natural language descriptions of the activities and score parsed portions of the natural language descriptions. The device generates, for the role, an aggregate automation score based on the automation scores, determines the automation evaluation for the role based on the aggregate automation score and characteristics of an entity associated with the role, and performs an action relating to the automation evaluation.

Claim (Index 10):
A method, comprising:\n providing, by a device, a user interface element to receive a natural language description of a role; parsing, by the device and using a machine learning model, the natural language description to determine a set of tasks of the role; parsing, by the device and using the machine learning model, the natural language description to determine a set of activities for the set of tasks; training, by the device, a model of activity automatability using an artificial neural network processing technique to perform pattern recognition with regard to patterns of whether the set of activities, described using different semantic descriptions, are automatable and whether the set of tasks will be automated; determining, by the device and using the model of activity automatability, a set of automation scores for the set of activities,\n an automation score, of the set of automation scores, representing an automation potential predicted for a task of the set of tasks; \n determining, by the device, an aggregate automation score for the role based on the set of automation scores,\n wherein the role is defined by the set of tasks, and \n wherein each task, of the set of tasks, includes at least one activity of the set of activities; \n determining, by the device, an automation evaluation for the role based on the aggregate automation score and one or more characteristics of an entity associated with the role; searching, by the device, using a skills model, and based on the automation evaluation indicating a likelihood of the role being automated, an internet for a course associated with a skill, of a set of skills, for the entity; receiving, by the device, from the internet, and based on searching the internet, the course,\n the course being a video-based course or an audio-based course, \n performing, by the device, an allocation of resources of a content delivery network (CDN) to distribute the course to one or more user devices; generating, by the device and based on receiving the course, a user interface for providing the course; and providing, by the device, via the user interface, and using the resource of the CDN, the course to the one or more user devices.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.96296
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15655507', '15380865', '11605915', '13606684', '14093284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1054549757193061
- 35 USC 102 Novelty (BERT): 0.4935298822689606
- Combined Prediction Score: 0.1442624663742715
- Mean Citation Score: 179.685476
- Max Citation Score: 206.11507
- Similarity Product: 133.7600415223658

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