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Summary: KERNELS AND SIMILARITY MEASURES FOR TEXT CLASSIFICATION
Andr´e T. Martins
Priberam Inform´atica,
and
Instituto de Telecomunicac¸~oes
Instituto Superior T´ecnico,
Lisboa, Portugal
M´ario A. T. Figueiredo
Instituto de Telecomunicac¸~oes
Instituto Superior T´ecnico,
Lisboa, Portugal
Pedro M. Q. Aguiar
Instituto de Sistemas e Rob´otica
Instituto Superior T´ecnico,
Lisboa, Portugal
ABSTRACT
Measuring similarity between two strings is a fundamental step
in text classification and other problems of information retrieval.
Recently, kernel-based methods have been proposed for this
task; since kernels are inner products in a feature space, they
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