PATENT CLAIM ANALYSIS

Application Number: 15892495
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["705", "007190"]

Abstract:
A method, computer system, and a computer program product for cognitive scheduling is provided. The present invention may include receiving an input. The present invention may also include performing a semantic analysis based on the received input. The present invention may then include performing further analysis based on the performed semantic analysis. The present invention may further include performing a predictive analysis based on the performed semantic analysis and the performed further analysis. The present invention may also include providing a notification to a user based on the performed predictive analysis.

Claim (Index 1):
A method for cognitive scheduling, the method comprising:\n receiving an input; performing a semantic analysis based on the received input, wherein the semantic analysis is performed in a semantic analysis module, wherein the semantic analysis module identifies a plurality of data, wherein the identified plurality of data is sorted and sent to a behavioral analysis module and a relationship analysis module; performing a behavioral analysis based on the performed semantic analysis, wherein the behavioral analysis is performed in the behavioral analysis module, wherein the behavioral analysis module receives the plurality of data from the semantic analysis module, wherein the received plurality of data is selected from a group consisting of at least one user behavior, at least one user biometric response and at least one user sentiment, wherein the user behavior is selected from a group consisting of a scheduling pattern, a work schedule or a personal schedule, wherein the user sentiment analyzed by the frequency of a discussed topic and the historical activities of the user, wherein the user biometric response is selected from a group consisting of the user's heart rate, the user's body temperature and the user's blood flow; performing a relationship analysis based on the performed semantic analysis, wherein the relationship analysis is performed in a relationship analysis module, wherein the relationship analysis module receives the plurality of data from the semantic analysis module, wherein the received plurality of data is used to analyze a relationship between the user and other individuals involved in a plurality of scheduled activities and in a plurality of unscheduled activities; wherein performing the predictive analysis is based on the performed semantic analysis, behavioral analysis and relationship analysis, wherein the predictive analysis is performed in a predictive analysis module, wherein the predictive analysis module collects the plurality of data, wherein the collected plurality of data is the plurality of data received from the behavior analysis module and the relationship analysis module, wherein the collected plurality of data is used to analyze a plurality of historical activities associated with the user and a plurality of current activities associated with the user; and providing a notification to a user based on the performed predictive analysis.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.53846
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14324542', '14040565', '14747078', '14950000', '15413158']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0904099763733119
- 35 USC 102 Novelty (BERT): 0.4712511223254098
- Combined Prediction Score: 0.1284940909685217
- Mean Citation Score: 112.1092558
- Max Citation Score: 117.460304
- Similarity Product: 77.91867725650405

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

Dataset: test