Method and apparatus for text classification using minimum classification error to train generalized linear classifier

An apparatus for generating a classifier for classifying text, comprising:

• a memory;
• and
• at least one processor, coupled to the memory, operative to:
• perform minimum classification error training on an initial generalized linear classifier to generate a trained initial classifier;
• apply a boosting algorithm to said trained initial classifier to generate m alternative classifiers;
• perform minimum classification error training on said m alternative classifiers to generate m trained alternative classifiers;
• and
• select a final classifier from said trained initial classifier and said m trained alternative classifiers based on a classification error rate on a training set.

An article of manufacture for generating a classifier for classifying text, comprising a machine readable medium containing one or more programs which when executed implement the steps of:

• performing minimum classification error training on an initial generalized linear classifier to generate a trained initial classifier;
• applying a boosting algorithm to said trained initial classifier to generate m alternative classifiers;
• performing minimum classification error training on said m alternative classifiers to generate m trained alternative classifiers;
• and
• selecting a final classifier from said trained initial classifier and said m trained alternative classifiers based on a classification error rate on a training set.