Visualization of text streams: A survey

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6277 LNAI, Issue PART 2, 2010, Pages 31-43

  Šilić, Artur ^a   Bašić, Bojana Dalbelo ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Dimensionality Reduction; Information Extraction; Information Visualization; Text Mining; Text Representation; TopicDetection and Tracking; Trend Discovery; User Interaction; Visual Analytics; Visualization Evaluation; Visualization Subjectivity

Indexed keywords

DIMENSIONALITY REDUCTION; INFORMATION EXTRACTION; INFORMATION VISUALIZATION; TEXT MINING; TEXT REPRESENTATION; TOPICDETECTION AND TRACKING; TREND DISCOVERY; USER INTERACTION; VISUAL ANALYTICS;

DATA MINING; GRAPHICAL USER INTERFACES; INFORMATION SCIENCE; KNOWLEDGE BASED SYSTEMS; SURVEYS;

VISUALIZATION;

EID: 78449246776     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15390-7_4     Document Type: Conference Paper

References (65)

1. Scott Owen, G., Domik, G., Rhyne, T.M., Brodlie, K.W., Santos, B.S.: Definitions and rationale for visualization, http://www.siggraph.org/education/ materials/HyperVis/visgoals/visgoal2.htm (accessed in February 2010)
2. Friendly, M., Denis, D.: Milestones in the history of thematic cartography, statistical graphics, and data visualization, vol. 9 (2008)
3. Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Ctr (2005)
4. Risch, J., Kao, A., Poteet, S., Wu, Y.: Text Visualization for Visual Text Analytics. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds.) Visual Data Mining. LNCS, vol. 4404, pp. 154-171. Springer, Heidelberg (2008)
5. Keim, D.A., Mansmann, F., Thomas, J.: Visual Analytics: How Much Visualization and How Much Analytics? In: ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery - VAKD 2009 (2009)
6. Tukey, J.W.: Exploratory Data Analysis. Addison-Wesley, Reading (1977)
7. Allan, J.: Tracking, Event- based Information Organization. Kluwer Academic Publishers, Dordrecht (2002)
8. Luo, D., Yang, J., Fan, J., Ribarsky, W., Luo, H.: EventRiver: Interactive Visual Exploration of Streaming Text. EG/IEEE EuroVis 2009 (2009) (to be published)
9. Carpendale, S.: Evaluating information visualizations. In: Information Visualization: Human-Centered Issues and Perspectives, pp. 19-45. Springer, Heidelberg (2008)
10. Tufte, E.R.: Visual Explanations. Graphics Press (1997)
11. Benson, J., Crist, D., Lafleur, P.: Agent-based visualization of streaming text. In: Proc. IEEE Info. Vis. Conf., Raleigh (2008)
12. Weskamp, M.: (2004), http://marumushi.com/projects/newsmap (acc. in Apr. 2010)
13. Albrecht-Buehler, C., Watson, B., Shamma, D.A.: Visualizing live text streams using motion and temporal pooling. IEEE Comp. Graph. App. 25(3), 52-59 (2005)
14. Mao, Y., Dillon, J., Lebanon, G.: Sequential document visualization. IEEE Transactions on Visualization and Computer Graphics 13(6), 1208-1215 (2007)
15. Linguistic Data Consortium: The New York Times Annotated Corpus, http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2008T19
16. Leskovec, J., Backstrom, L., Kleinberg, J.M.: Meme-tracking and the dynamics of the news cycle. In: Proc. of the 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp. 497-506 (2009)
17. Wise, J.A., Thomas, J.J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., Crow, V.: Visualizing the non-visual: Spatial analysis and interaction with information from text documents. In: Proc. IEEE Symp. Info. Vis., pp. 51-58 (1995)
18. Miller, N.E., Wong, P.C., Brewster, M., Foote, H.: TOPIC ISLANDS - a wavelet-based text visualization system. In: Proc. 9th IEEE Conf. on Vis., pp. 189-196 (1998)
19. Berendt, B., Subasic, I.: STORIES in time: A graph-based interface for news tracking and discovery. In:Web Intel./IATWorkshops, pp. 531-534. IEEE, Los Alamitos (2009)
20. Kontostathis, A., Galitsky, L., Pottenger, W.M., Roy, S., Phelps, D.J.: A Survey of Emerging Trend Detection in Textual Data Mining (2003)
21. Yang, Y., Akers, L., Klose, T., Yang, C.B.: Text mining and visualization tools - impressions of emerging capabilities. World Patent Info. 30(4), 280-293 (2008)
22. Salton, G., Wong, A., Yang, A.C.S.: A vector space model for automatic indexing. Communications of the ACM 18, 229-237 (1975)
23. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1-47 (2002)
24. Mei, Q., Zhai, C.: Discovering evolutionary theme patterns from text: an exploration of temporal text mining. In: Grossman, R., Bayardo, R.J., Bennett, K.P. (eds.) Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, pp. 198-207. ACM, New York (2005)
25. Moens, M.F.: Information Extraction, Algorithms and Prospects in a Retrieval Context. Springer, Heidelberg (2006)
26. Gregory, M., Chinchor, N., Whitney, P.: User-directed sentiment analysis: Visualizing the affective content of documents. In: Proc. of the Workshop on Sentiment and Subjectivity in Text. Association for Computational Linguistics (2006)
27. Sammon, J.: A nonlinear mapping for data structure analysis. IEEE Transactions on Computing 5(18), 401-409 (1969)
28. Lin, X., Soergel, D., Marchionini, G.: A Self-organizing semantic map for information retrieval. In: Proc. 14th. Ann. Int. ACM SIGIR Conf. on R&D In Information Retrieval, pp. 262-269 (1991)
29. Chalmers, M., Chitson, P.: Bead: Explorations in information visualization. In: Proc. of the 15th ACM SIGIR Conf. on R&D in Information Retrieval (1992)
30. Rennison, E.: Galaxy of news: An approach to visualizing and understanding expansive news landscapes. In: ACM User Interface Soft. and Tech., pp. 3-12 (1994)
31. Davidson, G.S., Hendrickson, B., Johnson, D.K., Meyers, C.E., Wylie, B.N.: Knowledge mining with VxInsight: Discovery through interaction. J. Intell. Inf. Syst. 11(3), 259-285 (1998)
32. Kaski, S., Lagus, K., Kohonen, T.: WEBSOM - Self-organizing maps of document collections. Neurocomputing 21, 101-117 (1998)
33. Risch, J., Rex, D., Dowson, S., Walters, T., May, R., Moon, B.: The starlight information visualization system. In: Proc. IEEE Conf. Info. Vis., pp. 42-49 (1997)
34. Havre, S., Hetzler, E.G., Nowell, L.T.: Themeriver: Visualizing theme changes over time. In: Proc. IEEE Conf. Info. Vis., pp. 115-124 (2000)
35. Kabán, A., Girolami, M.: A dynamic probabilistic model to visualise topic evolution in text streams. J. Intelligent Information Systems 18(2-3), 107-125 (2002)
36. Andrews, K., Kienreich, W., Sabol, V., Becker, J., Droschl, G., Kappe, F., Granitzer, M., Auer, P., Tochtermann, K.: The infosky visual explorer: exploiting hierarchical structure and document similarities. Info. Vis. 1(3-4), 166-181 (2002)
37. Wong, P.C., Foote, H., Adams, D., Cowley, W., Thomas, J.: Dynamic visualization of transient data streams. In: Proc. IEEE Symp. Info. Vis. (2003)
38. Fortuna, B., Grobelnik, M., Mladenic, D.: Visualization of text document corpus. Informatica (Slovenia) 29(4), 497-504 (2005)
39. Paulovich, F.V., Minghim, R.: Text map explorer: a tool to create and explore document maps. In: IV, pp. 245-251. IEEE Computer Society, Los Alamitos (2006)
40. Don, A., Zheleva, E., Gregory, M., Tarkan, S., Auvil, L., Clement, T., Shneiderman, B., Plaisant, C.: Discovering interesting usage patterns in text collections: integrating text mining with visualization. In: Proc. 16th ACM Conf. Information and Knowledge Management, CIKM, pp. 213-222 (2007)
41. Ghoniem, M., Luo, D., Yang, J., Ribarsky, W.: NewsLab: Exploratory Broadcast News Video Analysis. In: IEEE Symp. Vis. Analytics Sci. and Tech., pp. 123-130 (2007)
42. Paulovich, F.V., de Oliveira, M.C.F., Minghim, R.: The projection explorer: A flexible tool for projection-based multidimensional visualization. In: Proc. 20th Brazilian Symp. Comp. Graph. and Image Processing (SIBGRAPI), pp. 27-36 (2007)
43. Alencar, A.B., de Oliveira, M.C.F., Paulovich, F.V., Minghim, R., Andrade, M.G.: Temporal-PEx: Similarity-based visualization of time series. In: Proc. 20th Brazilian Symp. Comp. Graph. and Image Processing, SIBGRAPI (2007)
44. Ishikawa, Y., Hasegawa, M.: T-Scroll: Visualizing trends in a time-series of documents for interactive user exploration. In: Kovács, L., Fuhr, N., Meghini, C. (eds.) ECDL 2007. LNCS, vol. 4675, pp. 235-246. Springer, Heidelberg (2007)
45. Terachi, M., Saga, R., Sheng, Z., Tsuji, H.: Visualized technique for trend analysis of news articles. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds.) IEA/AIE 2008. LNCS (LNAI), vol. 5027, pp. 659-668. Springer, Heidelberg (2008)
46. Petrović, S., Dalbelo Bašić, B., Morin, A., Zupan, B., Chauchat, J.H.: Textual features for corpus visualization using correspondence analysis. Intell. Data Anal. 13(5), 795-813 (2009)
47. Strobelt, H., Oelke, D., Rohrdantz, C., Stoffel, A., Keim, D.A., Deussen, O.: Document cards: A top trumps visualization for documents. IEEE Trans. Vis. Comput. Graph 15(6), 1145-1152 (2009)
48. Prabowo, R., Thelwall, M., Alexandrov, M.: Generating overview timelines for major events in an RSS corpus. J. Informetrics 1(2), 131-144 (2007)
49. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. American Society for Info. Science 41 (1990)
50. Jackson, J.E.: A User's Guide to Principal Components. John Willey, New York (1991)
51. Greenacre, M.J.: Correspondence analysis in practice. Chapman and Hall, Boca Raton (2007)
52. Kruskal, J.B., Wish, M.: Multidimensional Scaling. Sage Publications, CA (1978)
53. York, J., Bohn, S., Pennock, K., Lantrip, D.: Clustering and dimensionality reduction in spire. In: AIPA Steering Group. Proc. Symp. Advanced Intelligence Processing and Analysis. Office of R&D, Washington (1995)
54. Paulovich, F.V., Nonato, L.G., Minghim, R., Levkowitz, H.: Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE T. Vis. Comp. Graph. 14(3), 564-575 (2008)
55. Kohonen, T.: Self-Organizing Maps. Springer, Berlin (1995)
56. Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Software: Practice and Experience 21(11), 1129-1164 (1991)
57. Minghim, R., Paulovich, F.V., Lopes, A.A.: Content-based text mapping using multidimensional projections for exploration of document collections. In: IS&T/SPIE Symp. on Elect. Imag. - Vis. and Data Anal., San Jose (2006)
58. Shneiderman, B.: Treemaps for space-constrained visualization of hierarchies, http://www.cs.umd.edu/hcil/treemap-history/index.shtml (accessed in April 2010)
59. Berndt, D.J., Clifford, J.: Using dynamic time warping to find patterns in time series. In: AAAI Workshop on Knowledge Discovery in Databases, pp. 359-370 (1994)
60. Keogh, E.J., Lonardi, S., Ratanamahatana, C.A., Wei, L., Lee, S.H., Handley, J.: Compression-based data mining of sequential data. Data Min. Knowl. Discov. 14(1), 99-129 (2007)
61. Hearst, M.: User Interfaces and Visualization. Addison-Wesley Longman, Amsterdam (1999)
62. Eler, D.M., Paulovich, F.V., de Oliveira, M.C.F., Minghim, R.: Coordinated and multiple views for visualizing text collections. In: IEEE 12th Conf. Info. Vis., pp. 246-251 (2008)
63. van Wijk, J.J.: Views on visualization. IEEE T. Vis. Comp. Graph. 12(4) (2006)
64. McGrath, J.E.: Methodology matters: doing research in the behavioral and social sciences. Morgan Kaufmann Publishers Inc., San Francisco (1995)
65. Microsoft: Pivot project, http://www.getpivot.com/