A utility-based Web content sensitivity mining approach

Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

Volumn , Issue , 2008, Pages 428-431

  Wang, Cheng ^a   Liu, Ying ^b,c   Jian, Liheng ^b   Zhang, Peng ^b  

^a AGILENT TECHNOLOGIES   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; HIGH SENSITIVITIES; QUANTITATIVE MEASURES; REAL-WORLD; SENSITIVITY VALUES; SOCIAL ORDERS; WEB CONTENTS; WEB PAGES;

TECHNICAL PRESENTATIONS;

WORLD WIDE WEB;

EID: 62949158686     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIIAT.2008.203     Document Type: Conference Paper

References (5)

1. Ying Liu, Wei-keng Liao, Alok Choudhary, "A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets", PAKDD, Hanoi, Vietnam, 2005.
2. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan, "Thumbs Up? Sentiment Classification using Machine Learning Techniques", ACL-02 Conference on Empirical Methods in Natural Language Processing, pp. 79-86, 2002.
3. Peter Turney, Michael Littman, "Unsupervised Learning Semantic Orientation from a Hundred-billion-word Corpus", Technical report EGB-1094, National Research Council Canada, 2002.
4. A Solution to Web Public Opinion Monitoring and Analyzing, http://www.chinaeg.gov.cn/2005/77/749.aspx.
5. I3S Web Search System, http://www.i3s.ac.cn/solutions/websearch.html.