PATENT CLAIM ANALYSIS

Application Number: 15979513
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["715", "271000"]

Abstract:
A method, computer program product, and system for contextual determination of emotion icons. The method includes, for a particular user, determining an emotion icon to automatically input into a message, based on a class of the user, a current mood of the user, and the recipient of the message. The determined emotion icon is then inserted into the message.

Claim (Index 1):
A computer system comprising:\n one or more computer processors; one or more non-transitory computer readable storage media; program instructions stored on the one or more non-transitory computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to determine an emotion icon to automatically input into a message based on a class of the user, a recipient of the message, and a current mood of the user and the recipient, wherein:\n determining the emotion icon comprises:\n selecting an emotion icon from a selectable list of emotion icons, \n generating in real-time a new emotion icon outside of the selectable list wherein the new emotion icon conveys an emotion based on learned communication patterns of the user and the recipient, \n the current mood is determined in real time by camera tracking and monitoring of typing characteristics, and \n the class of the user and the recipient are based on: an age, a demographic, a culture, a world region, and a current cognitive state; and \n \n program instructions to insert the determined at least one emotion icon into the message, wherein:\n selecting an emotion icon from the selectable list of emotion icons comprises: identifying the new emotion icon conveys an emotion based on: learned communication patterns of the user and the recipient, learned communication patterns between different groups of users and recipients, and social interaction between the user and the recipient, wherein:\n the learned communication patterns of the user and the recipient are based, in part, on: text analysis associated with used emotion icons and the class of the user.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.76923
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15138320', '15666618', '15979499', '14621769', '14703238']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2640372627376661
- 35 USC 102 Novelty (BERT): 0.4441542354318332
- Combined Prediction Score: 0.2820489600070828
- Mean Citation Score: 138.75063
- Max Citation Score: 155.6322
- Similarity Product: 139.49797664093973

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

Dataset: test