Effecting action to address an issue associated with a category based on information that enables ranking of categories
First Claim
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1. A method comprising:
- training a categorizer for plural categories using a machine-learning algorithm;
classifying, by the categorizer, a set of cases into the plural categories;
computing one or more quantification measures regarding cases in the set of cases based on output from the categorizer;
providing information to enable ranking of the categories based on the one or more quantification measures; and
effecting action to address an issue associated with at least one of the categories based on the provided information,wherein at least the classifying, computing, and providing are performed by software stored on one or more machine-readable media and executed by at least one processor.
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Abstract
A categorizer is trained for plural categories according to a machine-learning algorithm. The categorizer classifies cases in a set of cases into the plural categories. One or more quantification measures regarding cases in the data set are computed based on output from the categorizer, and information is provided to enable ranking of the categories based on the one or more quantification measures. Action is effected to address an issue associated with at least one of the categories based on the provided information.
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Citations
45 Claims
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1. A method comprising:
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training a categorizer for plural categories using a machine-learning algorithm; classifying, by the categorizer, a set of cases into the plural categories; computing one or more quantification measures regarding cases in the set of cases based on output from the categorizer; providing information to enable ranking of the categories based on the one or more quantification measures; and effecting action to address an issue associated with at least one of the categories based on the provided information, wherein at least the classifying, computing, and providing are performed by software stored on one or more machine-readable media and executed by at least one processor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 41, 42, 43)
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22. A method comprising:
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training a categorizer for plural problems associated with a customer support organization based on a machine-learning algorithm; classifying, by the categorize, incidents in a first data set into the plural problems; computing one or more quantification measures regarding the plural problems based on output from the categorizer; and presenting information relating to relative magnitude of the problems based on the one or more quantification measures; and taking action in the customer support organization to remedy at least one of the problems based on the presented information, wherein at least the classifying, computing, and presenting are performed by software stored on one or more machine-readable media and executed by at least one processor. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 44)
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36. A machine-readable storage medium containing instructions that upon execution by at least one processor cause a system to:
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receive queries relating to respective plural customer support issues; identify cases from a data set in response to the queries; receive first indications that a first portion of the identified cases belong to the customer support issues, and second indications that a second portion of the identified cases do not belong to the customer support issues; train a categorizer for the plural customer support issues based on the received first and second indications; classify, by the categorizer, cases in a data set into the plural customer support issues; quantify the cases in the data set based on the classifying by the categorizer; and produce information to enable ranking of the customer support issues based on the quantifying. - View Dependent Claims (45)
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37. A system comprising:
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a storage to store a data set having plural cases; a categorizer; a search engine to identify cases from the data set in response to queries relating to plural customer support issues; an interface to receive indications of whether the identified cases belong to the plural customer support issues; a training module to train the categorizer based on the received indications, wherein the categorizer is adapted to classify the cases into the plural customer support issues; a quantifier to compute one or more quantification measures for the cases in the plural customer support issues based on output from the categorizer; and a ranking module to provide information to prioritize the customer support issues based on the one or more quantification measures. - View Dependent Claims (38, 39)
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40. An article comprising a machine-readable storage medium containing instructions that upon execution by at least one processor cause a system to:
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receive queries relating to respective plural problems; identify incidents from a first data set in response to the queries; receive indications regarding whether the identified incidents belong to the problems; train a categorizer for the plural problems based on the received indications; classify, by the categorizer, incidents from a second data set into the plural problems; compute one or more quantification measures for the incidents for the plural problems based on output from the categorizer; and present information to prioritize the problems based on the one or more quantification measures; and effect action to address at least one of the problems based on the information prioritizing the problems.
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Specification