Sentiment Flow Through Hyperlink Networks

Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011

Volumn , Issue , 2011, Pages 550-553

  Miller, Mahalia ^a   Sathi, Conal ^a   Wiesenthal, Daniel ^a   Leskovec, Jure ^a   Potts, Christopher ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FLOW GRAPHS; HYPERTEXT SYSTEMS; LEAD COMPOUNDS;

FLOWTHROUGH; FLOWTHROUGH EXPERIMENTS; HYPERLINK NETWORKS; HYPERLINKS; LEAD COMPLEXES; MASS MEDIA; SENTIMENT ANALYSIS; SENTIMENT FEATURES; WEBLOGS;

SENTIMENT ANALYSIS;

EID: 84907032094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Adamic, L. A., and Glance, N. 2005. The political blogosphere and the 2004 U.S. election. In Proceedings of the 3rd international workshop on Link discovery - LinkKDD’05, 36–43.
2. Baccianella, S.; Esuli, A.; and Sebastiani, F. 2010. SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Seventh conference on International Language Resources and Evaluation (LREC’10), 2200—2204.
3. Leskovec, J.; Backstrom, L.; and Kleinberg, J. 2009. Meme-tracking and the dynamics of the news cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD’09, 497.
4. Leskovec, J.; McGlohon, M.; Faloutsos, C.; and Glance, N. 2007. Cascading behavior in large blog graphs: Patterns and a model. In SIAM International Conference on Data Mining.
5. Pang, B.; Lee, L.; and Vaithyanathan, S. 2002. Thumbs up? In Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP’02, 79–86.
6. Stone, P.; Dunphy, D.; Smith, M.; and Ogilvie, D. 1966. The General Inquirer: A Computer Approach to Content Analysis. The MIT Press.
7. Zafarani, R.; Cole, W.; and Liu, H. 2010. Sentiment propagation in social networks: A case study in LiveJournal. In Advances in Social Computing, volume 6007 of Lecture Notes in Computer Science. Springer Berlin / Heidelberg. 413–420.