Title :
Classification of Emotional Onomatopoeias Based on Questionnaire Surveys
Author :
Uchida, Yasuo ; Araki, Kotaro ; Yoneyama, Jun
Author_Institution :
Dept. of Electr. Eng. & Electron., Aoyama Gakuin Univ., Sagamihara, Japan
Abstract :
Emotion estimation from sentences is helpful in semantic analysis and human-computer interaction. People sometimes express their emotions directly and sometimes describe experiences that produce various emotions. Emotion estimation requires both verbal expressions. We believe Japanese onomatopoeias could serve as a landmark of emotions. In this study, multiple raters judged emotions found in 324 onomatopoeias. We quantitatively evaluated the degree of agreement among the raters and attempted to improve it.
Keywords :
emotion recognition; human computer interaction; natural language processing; pattern classification; Japanese onomatopoeias; agreement rate; emotion estimation; emotional onomatopoeias classification; human-computer interaction; semantic analysis; sentences; verbal expressions; Dictionaries; Educational institutions; Electrical engineering; Estimation; Humans; Psychology; Semantics; Japanese onomatopoeia; Kappa coefficient; agreement rate; emotion;
Conference_Titel :
Asian Language Processing (IALP), 2012 International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4673-6113-2
Electronic_ISBN :
978-0-7695-4886-9
DOI :
10.1109/IALP.2012.31