Emotion tagging for comments of online news by meta classification with heterogeneous information sources

SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2012, Pages 1059-1060

  Zhang, Ying ^a   Fang, Yi ^b   Quan, Xiaojun ^c   Dai, Lin ^d   Si, Luo ^b   Yuan, Xiaojie ^a  

^a NANKAI UNIVERSITY   (China)

^b PURDUE UNIVERSITY   (United States)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

emotion tagging; meta classification; online news

Indexed keywords

DATA SETS; EMOTION TAGGING; HETEROGENEOUS INFORMATION SOURCES; META CLASSIFICATION; NEWS ARTICLES; ONLINE NEWS; RAPID GROWTH;

INFORMATION RETRIEVAL; RESEARCH;

USER INTERFACES;

EID: 84866616312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2348283.2348468     Document Type: Conference Paper

References (4)

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3. D. Das and S. Bandyopadhyay. Sentence to document level emotion tagging-a coarse-grained study on bengali blogs. Advances in Pattern Recognition, 2010.
4. K. Lin, C. Yang, and H. Chen. What emotions do news articles trigger in their readers? In SIGIR, pages 733-734, 2007.