Feature selection for text classification based on part of speech filter and synonym merge

Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection

“…As supervised learning is based on the feature quality and accurately labeled dataset, the performance of these classification problems has highly relied upon the efficacy and experience of the feature engineer performing the feature Contribution of this paper: The contribution of this paper can, therefore, be considered as a two-fold contribution: First, we explore the feature concatenation in auditory signal processing. Merging of features from different sources has been successfully utilized in the image processing task before [1][2][3][4]. Being inspired by these, we have successfully evolved our proposed approach based on feature concatenation.…”