Determining mood for a blog by combining multiple sources of evidence

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

Volumn , Issue , 2007, Pages 271-274

  Jung, Yuchul ^a   Choi, Yoonjung ^a   Myaeng, Sung Hyon ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; INTERNET; LEARNING SYSTEMS; MISSILES; USER INTERFACES; VECTORS;

AGENT INTERACTIONS; BLOGGERS; CLASSIFICATION RESULTS; COMMON SENSE KNOWLEDGE; GENERAL PUBLIC; INTERNATIONAL CONFERENCES; MULTIPLE SOURCES; RECOMMENDATION SYSTEMS; SUPPORT-VECTOR MACHINE; USER MODELLING; WEB INTELLIGENCE; WEIGHTED VOTING;

SUPPORT VECTOR MACHINES;

EID: 48349098672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2007.46     Document Type: Conference Paper

References (6)

1. Mishne, G. Experiments with Mood Classification in Blog Posts. Style2005 at SIGIR 2005, 2005.
2. Liu, H. and Singh, P. ConceptNet - a practical commonsense reasoning tool-kit, BT Technology Journal: 211-226, 2004.
3. Bradley, M.M. and Lang, P. J. Affective norms for English words (ANEW). Gainesville, FL. The NTMH Center for the Study of Emotion and Attention, University of Florida, 1999.
4. Jung, Y.C., Park, H.G., and Myaeng, S.-H. A Hybrid Mood Classification Approach for Blog Text, PRICAI2006, pp. 1099-1103.
5. Yanmin, S., Mohamed S. K., and Andrew, K.C. Wong. Empirical Study on Weighted Voting Multiple Classifiers, ICAPR 2005, LNCS 3686, pp. 335-344, 2005.
6. Baeza-Yates R., and Ribeiro B., Modern Information Retrieval, Addison Wesley, 1998.