System and method for cross-cloud identification of topics
First Claim
1. A method for identifying topics in unstructured data, the method being performed by a computer system, the method comprising:
- obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object;
determining, based on the obtained unstructured data, at least one set of topic identification rules;
identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and
analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.
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Abstract
A system and method for identifying topics in unstructured data. The method includes obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.
21 Citations
20 Claims
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1. A method for identifying topics in unstructured data, the method being performed by a computer system, the method comprising:
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obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute a method, the method comprising:
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obtaining unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determining, based on the obtained unstructured data, at least one set of topic identification rules; identifying, based on the unstructured data and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyzing the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data.
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13. A system for identifying topics in unstructured data, comprising:
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a processing circuitry; and a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to; obtain unstructured data from at least one data source, wherein the obtained unstructured data includes at least one unstructured data object; determine, based on the obtained unstructured data, at least one set of topic identification rules; identify, based on the at least one unstructured data object and the at least one set of topic identification rules, at least one candidate topic of the unstructured data; and analyze the unstructured data with respect to the at least one candidate topic to determine at least one representative topic from among the at least one candidate topic, wherein each of the at least one representative topic indicates a context of at least a portion of the unstructured data. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification