Abstract
Automatically generated fuzzy rule-based classifiers for opinion mining are presented in this paper. A collective nature-inspired self-tuning meta-heuristic for solving unconstrained real-valued optimization problems called Co-Operation of Biology Related Algorithms and its modification with a biogeography migration operator for binary-parameter optimization problems were used for the design of classifiers. The basic idea consists in the representation of a fuzzy classifier rule base as a binary string and the parameters of the membership functions of the fuzzy classifier as a string of real-valued variables. Three opinion mining problems from the DEFTâ07 competition were solved using the proposed classifiers. Experiments showed that the fuzzy classifiers developed in this way outperform many alternative methods at the given problems. The workability and usefulness of the proposed algorithm are confirmed.
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