Automatically generated classifiers for opinion mining with different term weighting schemes

Automatically generated classifiers using different term weighting schemes for Opinion Mining are presented. New collective nature-inspired self-tuning meta-heuristic for solving unconstrained and constrained real- and binary-parameter optimization problems called Co-Operation of Biology Related Algorithms was developed and used for classifiers design. Three Opinion Mining problems from DEFT´07 competition were solved by proposed classifiers. Also different weighting schemes were used for data processing. Obtained results were compared between themselves and with results obtained by methods which were proposed by other researchers. As the result workability and usefulness of designed classifiers were established and best data processing approach for them was found.