IDENTIFYING RELEVANT CONTENT FOR DATA GATHERED FROM REAL TIME COMMUNICATIONS
First Claim
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1. A method for identifying relevant content for data gathered from real time communications, the method comprising:
- obtaining conversational data from a real time communication;
identifying contextual data with at least one contextual data source relevant to said real time communication;
learning patterns and relationships from said conversational data based on said contextual data from an analytical engine; and
inferring a meaning of said conversational data based on said contextual data.
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Abstract
Identifying relevant content for data gathered from real time communications includes obtaining conversational data from a real time communication, identifying contextual data with at least one contextual data source relevant to the real time communication, and inferring a meaning of the conversational data based on the contextual data.
8 Citations
15 Claims
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1. A method for identifying relevant content for data gathered from real time communications, the method comprising:
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obtaining conversational data from a real time communication; identifying contextual data with at least one contextual data source relevant to said real time communication; learning patterns and relationships from said conversational data based on said contextual data from an analytical engine; and inferring a meaning of said conversational data based on said contextual data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for identifying relevant content for data gathered from real time communications, the system comprising:
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an obtaining engine to obtain conversational data from a real time communication; an identification engine to identify contextual data with at least one contextual data source relevant to said real time communication; an analytical engine to analyze said conversational data based on said contextual data; a learning engine to learn patterns and relationships from said conversational data based on said contextual data from said analytical engine; and an inference engine to infer a meaning of said conversational data based on said contextual data. - View Dependent Claims (10, 11, 12)
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13. A computer program product for identifying relevant content for data gathered from real time communications, comprising:
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a tangible computer readable storage medium, said tangible computer readable storage medium comprising computer readable program code embodied therewith, said computer readable program code comprising program instructions that, when executed, causes a processor to; obtain conversational data from a real time communication; identify contextual data with at least one contextual data source relevant to said real time communication; analyze said conversational data based on said contextual data; learn patterns and relationships from said conversational data based on said contextual data based on said analysis; and infer a meaning of said conversational data based on said contextual data. - View Dependent Claims (14, 15)
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Specification