PATENT CLAIM ANALYSIS

Application Number: 16371050
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-11
Patent Classification: ["705", "007220"]

Abstract:
The present disclosure relates to systems and methods for estimating time to perform electronic activities. Exemplary implementations may: identify an electronic activity identifying a sender and one or more recipients and a body including content; determine using a quality estimation model, a quality of electronic activity (QoE) score corresponding to an estimated quality of the electronic activity; parse the content of the electronic activity; generate, using a language complexity determination engine, a language complexity score indicating a level of language complexity; determine a character count or word count; determine an estimated amount of time taken to generate the electronic activity using the language complexity score and the character count or word count; generate the QoE score corresponding to the estimated quality based on the estimated amount of time; and store in a data structure, an association between the electronic activity and the QoE score.

Claim (Index 14):
The method of  claim 8 , wherein determining, by the one or more processors, using the quality estimation model, the QoE score further comprises:\n comparing, by the one or more processors, the electronic activity with at least one other electronic activity transmitted or received by an electronic account of the sender of the electronic activity to determine a difference in the content between the electronic activity and the at least one other electronic activity; and wherein generating the QoE score is based on the estimated amount of time and the difference in the content between the electronic activity and the at least one other electronic activity.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.35294
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16371048', '16360884', '16360933', '16371037', '16360866']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1385176167328762
- 35 USC 102 Novelty (BERT): 0.5271443271445271
- Combined Prediction Score: 0.1773802877740413
- Mean Citation Score: 298.18486799999994
- Max Citation Score: 345.93335
- Similarity Product: 253.1395988949805

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

Dataset: test