We present four new feature selection methods for ordinal regression and test them against four different baselines on two large datasets of product reviews.
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...