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
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;
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.2012.24