Earticle

초록

영어

People listen to music according to their emotions. For example, people listen to sad music when melancholy and fun music when amused. But it is hard to search music similar to their emotions. The mobile phone has information which is created by people who use it. It means the mobile phone has his or her emotions. So, to use a mobile phone, we analyze the users’ emotions and recommend it to them. Music applies Valance-Arousal Model for classifying emotions and utilized Korean morpheme analyzer to understand its meaning by extracting verbs. This system is listening to music followed by the mobile phone’s text message. In this paper, we designed and implemented the intelligent music recommender system.

목차

Abstract
 1. Introduction
 2. Related Research
  2.1. Valance-Arousal Model
  2.2. Lucene Library
  2.3. Korean Morpheme Analyzer
  2.4. Building of Sentiment Lexicon
  2.5. Logcat
 3. System Design
  3.1. System Flow Chart
  3.2. System Architecture
 4. System Implementation
 5. Performance Evaluation
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Ki-Young Lee [ Department of Medical IT and Marketing, Eulji University, Seongnam, Korea ]
• Jeong-Jin Kang [ Department of Information and Comminication, Dong Seoul University, Seongnam, Korea ]
• Aleum Kim [ Department of Medical IT and Marketing, Eulji University, Seongnam, Korea ]
• Myung-Jae Lim [ Department of Medical IT and Marketing, Eulji University, Seongnam, Korea ] Corresponding Author
• Yong-Soon Im [ Department of Broadcasting Production, Kookje University, Pyeongtaek, Korea ]
• Sung-Jai Choi [ Department of Electronic Engineering, Gachon University, Seongnam, Korea ]
• Jong-Jin Park [ Department of Internet, Chungwoon University, Incheon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605