Earticle

초록

영어

To understand the other person’s emotion, we should know the situations in which the person is surrounded and the personality of the person. In most previous studies, however, these important characteristics don’t be considered, and emotion recognition has been considered as a problem of classifying texts. In this paper, we attempt to novel approaches to utilize situational information and personality of emotional subject. We propose the method extracting situational information, and the personalized emotion model for reflecting personality of emotional subject. To extract and utilize situational information, we propose situation model using lexical and syntactic information. In addition, To reflect personality of emotional subject, we propose personalized emotion model using KBANN(Knowledge-based Artificial Neural Network). Experimental results show that the proposed system can recognize emotions more accurately and intelligently than previous text-based emotion recognition systems.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Implementation
 4. Experiment
 5. Conclusion
 References

키워드

저자

• Yong-Soo Seol [ Department of Computer Science and Engineering, Hanyang University ]
• Han-Woo Kim [ Department of Computer Science and Engineering, Hanyang University ]
• Dong-Joo Kim [ Department of Computer Engineering, Anyang University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605