DocumentCode
3489230
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
fYear
2012
fDate
13-15 Nov. 2012
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IALP.2012.31
Filename
6473681
Link To Document