• 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