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
Link To Document