System and method for classifying information
OwnerMartin B. Scholz, Somnath Banerjeeinventors
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Abstract
An exemplary embodiment of the present invention provides a computer implemented method for classifying information. The method may include accessing a plurality of information sources to identify example information items for each of a plurality of classification categories. Each of the example information items may be analyzed to generate a training corpus for each information source for each of the classification categories. The training corpus for each of the information sources may be combined to generate a training set for each of the classification categories, wherein the training set may be configured to allow the generation of a classification function.
Claims20
A computer implemented method for classifying information, comprising:
- accessing a plurality of information sources to identify information items for each of a plurality of classification categories;
- analyzing each of the information items to generate a training corpus for each information source for each of the classification categories;
- and
- combining the training corpus for each information source to generate a training set for each of the classification categories, wherein the training set is configured to allow the generation of a classification function.
A system for classifying a content object, comprising:
- a processor;
- a network interface;
- and
- a tangible, machine readable medium comprising code configured to direct the processor to:
- obtain a content object over the network interface;
- analyze the content object to generate a list of keywords;
- apply a classification function to each of the keywords to generate a classification factor that represents whether the content object is in a classification category, wherein:
- the classification function is generated by combining a plurality of individual classification functions generated from each of a plurality of training corpora;
- and
- each of the training corpora is generated from information items identified on a separate information source;
- sum the classification factors for each classification category;
- and
- classify the content object by the sum of the classification factors.
A tangible, computer readable medium, comprising code configured to direct a processor to:
- access a plurality of information sources to identify information items for each of a plurality of classification categories;
- analyze each of the information items to generate a training corpus for each information source for each of the classification categories;
- and
- combine the training corpus for each of the information sources to generate a training set for each of the classification categories, wherein the training set is configured to allow the generation of a classification function.
Dependencies are inferred from the claim text.