Classification, recognition and feedback in text based metacommunication

Author

Szücs, Gábor ; Magyar, Gábor

Author_Institution

Dept. of Telecommun. & Media Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary

fYear

2011

fDate

7-9 July 2011

Firstpage

1

Lastpage

4

Abstract

The goal of this paper was to recognize such marks, signs in human-computer communication, which refers to state of the partner. The paper deals with two tasks: speech style classification and emotion recognition of the speakers based on only the written text of the communication; and an answer generation task based on the recognized speech style or emotion. Our work has been focused on classification and recognition by text mining method using text preparation and classification algorithm.

Keywords

emotion recognition; human computer interaction; speech recognition; text analysis; emotion recognition; human computer communication; speech emotion; speech style; speech style classification; text based metacommunication; text preparation; Classification algorithms; Emotion recognition; Speech; Speech recognition; Text recognition; Training; Visualization; Naïve Bayes classification; emotion recognition; speech style detection; text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on

Conference_Location

Budapest

Print_ISBN

978-1-4577-1806-9

Electronic_ISBN

978-963-8111-78-4

Type

conf

Filename

5999490