Social Language Affective Computing Using Sparse Representation

摘要

This paper presents a sparse representation approach for social language affective computing. The social affective computing is an across filed of computer and sociology science. The sparse representation is one of the most excellent tools for classification and regression. We bring the sparse representation as a tool to social affective computing. Extensive experiments and tests are done on the benchmark social affective computing dataset. The experiments showed that the sparse representation work well for social affective computing.