Abstract
In this paper we present a combined opinion recognition scheme based on discriminative algorithms, decision trees and probabilistic algorithms. The proposed scheme takes advantage of the information provided from each of the recognition models in decision level, in order to provide refined and more accurate opinion recognition results. The experimental results showed that the proposed combined scheme achieved an overall recognition performance of 87.90%, increasing the accuracy of our best-performing opinion recognition model by 3.5%.
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CITATION STYLE
Koumpouri, A., Mporas, I., & Megalooikonomou, V. (2015). Opinion recognition on movie reviews by combining classifiers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9319, pp. 309–316). Springer Verlag. https://doi.org/10.1007/978-3-319-23132-7_38
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