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 4):
The device of  claim 1 , wherein the one or more processors are further to:\n generate a prediction of a timeline for automation of the role based on the aggregate automation score; and provide information identifying the timeline for automation of the role.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.96296
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15655507', '15380865', '11605915', '13606684', '14093284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1189101751161725
- 35 USC 102 Novelty (BERT): 0.4793682269830602
- Combined Prediction Score: 0.1549559803028613
- Mean Citation Score: 179.685476
- Max Citation Score: 206.11507
- Similarity Product: 160.11641030510427

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