SentiView: Sentiment analysis and visualization for internet popular topics

IEEE Transactions on Human-Machine Systems

Volumn 43, Issue 6, 2013, Pages 620-630

  Wang, Changbo ^a   Xiao, Zhao ^a   Liu, Yuhua ^a   Xu, Yanru ^a   Zhou, Aoying ^a   Zhang, Kang ^b,c  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b TIANJIN UNIVERSITY   (China)

^c The University of Texas at Dallas   (United States)

Author keywords

Microblog; Sentiment; Social networks; Visual analytics; Web forums

Indexed keywords

SENTIMENT ANALYSIS; UNCERTAINTY ANALYSIS; VISUALIZATION;

EVOLUTION MODELING; INTERACTIVE VISUALIZATION SYSTEMS; MICRO-BLOG; MULTIPLE ATTRIBUTES; SENTIMENT; UNCERTAINTY MODELING; VISUAL ANALYTICS; WEB FORUMS;

SOCIAL NETWORKING (ONLINE);

EID: 84893086921     PISSN: 21682291     EISSN: None     Source Type: Journal    
DOI: 10.1109/THMS.2013.2285047     Document Type: Article

References (32)

1. C. Chen, F. Ibekwe-SanJuan, and E. SanJuan, "Visual analysis of conflicting opinions," in Proc. IEEE Comput. Soc. Symp. Visual Analytics, Chicago, IL, USA, 2006, pp. 59-66. (Pubitemid 351245895)
2. F. Wanner, C. Rohrdantz, F. Mansmann, D. Oelke, and D. Keim, "Visual sentiment analysis of RSS news feeds featuring the US presidential election in 2008," presented at theWorkshop on Visual Interfaces to the Social and the Semantic Web, Sanibel Island, FL, USA, 2008.
3. G. Draper and R. Riesenfeld, "Who votes for what? A visual query language for opinion data," IEEE Transa. Vis. Comput. Graphics, vol. 14, no. 6, pp. 1197-1204, Nov./Dec. 2008.
4. M. Gregory, N. Chinchor, P.Whitney, R. Carter, E. Hetzler, and A. Turner, "User-directed sentiment analysis: Visualizing the affective content of documents," in Proc.Workshop Sentiment Subjectivity Text, 2006, pp. 23-30.
5. J. Hoyst, K. Kaceperski, and F. Schweitzer, Annual Reviews of Computational Physics IX. Singapore: World Scientific, 2001.
6. K. Sznajd-Weron, "Sznajd model and its applications," Acta Phys. Polonica B, vol. 36, p. 2537, 2005.
7. M. Rios and J. Lin, "Distilling massive amounts of data into simple visualizations: Twitter case studies," in Proc. Int. AAAI Conf. Weblogs Social Media, 2012, pp. 22-25.
8. M. Dörk, D. Gruen, C. Williamson, and S. Carpendale, "A visual backchannel for large-scale events," IEEE Trans. Vis. Comput. Graph., vol. 16, no. 6, pp. 1129-38, Dec. 2010.
9. Y.Wu, F.Wei, S. Liu, N. Au,W. Cui, H. Zhou, and H. Qu, "OpinionSeer: Interactive visualization of hotel customer feedback," IEEE Trans. Vis. Comput. Graph., vol. 16, no. 6, pp. 1108-1118, Nov./Dec. 2010.
10. D. Baur, F. Seiffert, M. Sedlmair, and S. Boring, "The streams of our lives: Visualizing listening histories in context," IEEE Trans. Vis. Comput. Graph., vol. 16, no. 6, pp. 1119-1128, Nov./Dec. 2010.
11. L. Nováková and O. Štepanková, "RadViz and identification of clusters in multidimensional data," in Proc. 13th Int. Conf. Inf. Vis., 2009, pp. 104-109.
12. J. Stasko, G. Grinstein, and K. A. Marx, "Vectorized RadViz and its application to multiple cluster datasets," IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1444-1427, Nov./Dec. 2008.
13. M. Adnan, R. Alhajj, and J. Rokne, "Identifying social communities by frequent pattern mining," in Proc. 13th Int. Conf. Inf. Vis., 2009, pp. 413-418.
14. M. Adnan, M. Nagi, K. Kianmehr, M. Ridley, R. Alhajj, and J. Rokne, "Promotingwhere,when and what? An analysis ofweb logs by integrating data mining and social network techniques to guide eCommerce business promotions," J. Social Netw. Anal. Mining, vol. 1, no. 3, pp. 173-185, 2010.
15. J. Vassileva and C. Gutwin, "Exploring blog archives with interactive visualization," in Proc. Conf. Adv. Vis. Interfaces, 2008, pp. 39-46.
16. M. Dork, S. Carpendale, C. Collins, and C. Williamson, "VisGets: Coordinated visualizations for Web-based information exploration and discovery," IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1205-1212, Nov./Dec. 2008.
17. T. Ong, H. Chen,W. Sung, and B. Zhu, "Newsmap: A knowledge map for online news," Decision Support Syst., vol. 39, no. 4, pp. 583-597, 2005. (Pubitemid 40061304)
18. D. Fisher, A. Hoff, G. Robertson, and M. Hurst, "Narratives: A visualization to track narrative events as they develop," in Proc. IEEE Symp. Vis. Anal. Sci. Technol., 2008, pp. 115-122.
19. S. Rose, S. Butner, W. Cowley, M. Gregory, and J. Walker, "Describing story evolution from dynamic information streams," in Proc. IEEE Symp. Vis. Anal. Sci. Technol., 2009.
20. A. Neviarouskaya, H. Prendinger, and M. Ishizuka, "SentiFul: A lexicon for sentiment analysis," IEEE Trans. Affective Comput., vol. 2, no. 1, pp. 22-36, 2011.
21. C. Lin, Y. He, R. Everson, and S. Ruger, "Weakly-supervised joint sentiment-Topic detection from text," IEEE Trans. Knowl. Data Eng., vol. 24, no. 6, pp. 1134-1145, Jun. 2012.
22. Z. Zhang, Q. Ye, Z. Zhang, and Y. Li, "Sentiment classification of Internet restaurant reviews written in cantonese," Expert Syst. Appl., vol. 38, no. 6, pp. 7674-7682, 2011.
23. W. Zhang, H. Xu, andW.Wan, "Weakness finder: Find product weakness from chinese reviews by using aspects based sentiment analysis," Expert Syst. Appl., vol. 39, no. 9, pp. 10283-10291, 2012.
24. E. Hetzler, V. Crow, D. Payne, and A. Turner, "Turning the bucket of text into a pipe," in Proc. IEEE Comput. Soc. Symp. Inf. Vis., 2005, pp. 89-94. (Pubitemid 44500042)
25. M. Dubinko, R. Kumar, J. Magnani, J. Novak, P. Raghavan, and A. Tomkins, "Visualizing tags over time," ACM Trans. Web, vol. 1, no. 2, pp. 7-es (Art. 7), 2007.
26. N. Cao, Y.-R. Lin, X. Sun, D. Lazer, S. Liu, and H. Qu, "Whisper: Tracing the spatiotemporal process of information diffusion in real time," IEEE Trans. Vis. Comput. Graph., vol. 18, no. 12, pp. 2649-2658, Dec. 2012.
27. H. Zhang, H. Yu, and D. Xiong, "HHMM-based chinese lexical analyzer ICTCLAS," in Proc. Second SIGHAN Workshop Chin. Language Proc., 2003, pp. 184-187.
28. Z. Dong and Q. Dong, HowNet And the Computation of Meaning. River Edge. River Edge, NJ, USA: World Scientific, 2006.
29. F.Wanner, C. Rohrdantz, F. Mansmann, D. Oelke, andD.A.Keim, "Visual sentiment analysis of RSS news feeds featuring the us presidential election in 2008," presented at theWorkshop Vis. InterfacesSemanticWeb, Sanibel Island, FL, USA, 2009.
30. A. Nowak and M. Lewenstein, Modeling Social Change with Cellular Automata, R. Hegselmann, U. Mueller, and K. G. Troitzsch, Eds. Boston, MA, USA: Kluwer, 1996, pp. 249-285.
31. W. Aigner, S. Miksch, H. Schumann, and C. Tominski, "Visualization of time-oriented data," in Human-Computer Interaction, 1st ed. London, U.K.: Springer, 2011.
32. S. Havre, B. Hetzler, and L. Nowell, "ThemeRiver: visualizing theme changes over time," in Proc. IEEE Comput. Soc. Symp. Inf. Vis., Washington, DC, USA, 2000, pp. 115-123. (Pubitemid 32072848)