• DocumentCode
    3489487
  • Title

    Analyzing and Classifying the Yami Emotion Phrases Using Ontological Structure and Computation

  • Author

    Meng-Chien Yang ; Rau, D.V. ; Yi-Hsin Wu

  • Author_Institution
    Dept. of Comput. Sci. & Commun. Eng., Providence Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    13-15 Nov. 2012
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    This paper describes an approach for using an ontological structure to analyze Yami ika-emotion phrases. The study of the emotion phrases of the Austronesian language is still in a very early stage. In this study, we designed an approach of using an ontology to simulate the previous study on emotion and cognition of another Philippine language. Based on the implementation and experimental results, the proposed method was found to be able to obtain similar semantic functions by clustering the Yami emotion phrases into twelve conceptual domains for representing the Yami emotion. These results can help us find the strategy for analyzing and computing other similarly under-researched or endangered Austronesian languages.
  • Keywords
    emotion recognition; natural language processing; ontologies (artificial intelligence); pattern classification; pattern clustering; Filipino; Philippine language; Yami emotion phrase analysis; Yami emotion phrase classification; Yami emotion phrase clustering; Yami emotion representation; endangered Austronesian languages; ontological computation; ontological structure; semantic functions; under-researched Austronesian languages; Databases; Educational institutions; Natural language processing; Ontologies; Pragmatics; Presses; Semantics; Austronesian language; emotion analysis; natural language processing; ontology;
  • 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.2012.24
  • Filename
    6473692