Title :
Differentiated semantic analysis in lexical affect sensing
Author :
Osherenko, Alexander ; André, Elisabeth
Author_Institution :
Univ. of Augsburg Germany, Augsburg, Germany
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.
Keywords :
grammars; natural language processing; text analysis; affect recognition; comprehensive grammatical information; differentiated semantic analysis; lexical affect sensing; spoken language; text semantic analysis; written language; Algorithm design and analysis; Application software; Data mining; Databases; Information analysis; Natural languages; Performance analysis; Robot sensing systems; Support vector machine classification; Support vector machines;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349560
