Differentiated semantic analysis in lexical affect sensing

Abstract

There has been considerable interest in the recognition of affect from written and spoken language. In this paper, we describe an approach to lexical affect sensing that performs a semantic analysis of texts utilizing comprehensive grammatical information. Hereby, the proposed approach differentiates affect of many classes. In addition, this paper reports on obtained results and discusses them.