Title :
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
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;
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
