Providing information regarding a trend based on output of a categorizer
First Claim
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1. A method executed by a computer, comprising:
- identifying, in response to a query relating to a category, at least one case;
receiving an indication confirming or disconfirming that the at least one case belongs to the category;
training a categorizer based on the received indication;
allocating cases from a data set into plural bins; and
for respective bins, computing quantification measures for cases belonging to the category based on output from the categorizer; and
providing information regarding a first trend of the category over the plural bins based on the computed quantification measures.
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Abstract
In response to a query relating to a category, identify at least one case. An indication is received regarding whether the at least one case belongs to the category. A categorizer is trained based on the received indication. Cases from a data set are allocated into plural bins. For respective bins, quantification measures are computed for cases belonging to the category based on output from the categorizer. Information is provided regarding a trend of the category over the plural bins based on the computed quantification measures.
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Citations
23 Claims
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1. A method executed by a computer, comprising:
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identifying, in response to a query relating to a category, at least one case; receiving an indication confirming or disconfirming that the at least one case belongs to the category; training a categorizer based on the received indication; allocating cases from a data set into plural bins; and for respective bins, computing quantification measures for cases belonging to the category based on output from the categorizer; and providing information regarding a first trend of the category over the plural bins based on the computed quantification measures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 21)
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17. A method executed by a computer comprising:
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identifying at least one case in response to a query relating to a category; receiving an indication confirming or disconfirming that the identified at least one case belongs to the category; training the categorizer based on the received indication; classifying, with the trained categorizer, cases from a data set into the category; and allocating the cases into plural bins; computing quantification measures for cases in respective bins; providing information regarding a trend of the category over the plural bins based on the computed quantification measures; and determining whether an action take with respect to the category has resulted in a change of the quantification measures. - View Dependent Claims (18, 19, 22)
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20. A computer-readable storage medium storing instructions that when executed cause a computer to:
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identify, based on a query relating to a category, at least one case; receive an indication confirming or disconfirming that the identified at least one case belongs to the category; train a categorizer based on the received indication; classify, by the trained categorizer, cases from a data set into the category; divide the cases into plural bins; compute quantification measures for the cases in respective bins; and display a representation of a trend of the category over the bins based on the computed quantification measures. - View Dependent Claims (23)
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Specification