The Study on the Emotion Factor Extraction from Korean SMS (Short Message Service) Text for Robot Service

Autor:	Jin Kyu Park, Dong Yup Choi, Yong Jae Kim
Rok vydání:	2013
Předmět:	Service (business) Short Message Service Computer science ComputerApplications_MISCELLANEOUS Factor (programming language) Speech recognition Foreign language Robot General Medicine computer Word (computer architecture) Korean language computer.programming_language
Zdroj:	Applied Mechanics and Materials. 418:52-56
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.418.52
Popis:	This study is on the method of emotion extraction from Korean SMS text elements. There are errors and contradictions in the application of the results translated from foreign language, due to the difference of word origin to express the emotion. The extraction method was developed based on the characteristic of the Korean language, to minimize errors in emotion extraction. One of important characteristics of the Korean language is that emotion expressing words are mostly based on the changes in the body. The classification system developed is expected to be effective for robotic service.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f0ed6df3b7088ed12d77414ee10512d0 https://doi.org/10.4028/www.scientific.net/amm.418.52 Zobrazit plný text záznamu