Interactive Visualization of People’s Daily

  • Xiaohui WangEmail author
  • Jingyan QinEmail author
  • Dawei LiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10919)


As the number of documents grows larger and larger, it becomes more and more difficult for people to make sense of it all. People’s Daily is the official newspaper of Chinese Communist Party Central Committee, which has a decisive guiding role for the Chinese mainland politics in different periods. In this paper, we develop an interactive visual analytic system to represent 1,365,802 documents of People’s Daily from 1946 to 2003, in order to help analysts examine them more quickly and dig out potential information more efficiently. It is an easy-to-use system, which provides four distinct views of document visualization, including document view, calendar view, storyline view and query view. Besides, abundant human-centered interactions and text visualization techniques are adopted to improve user experiences. Experiments verify the usability of the system. Some discoveries about the change and development in Chinese society are found by using the system.


Interaction Text visualization People’s Daily Data mining 



This work was supported by the National Natural and Science Foundation of China (61602033), Science and Technology Plan Project of Beijing (Z171100001217009) and the Social Science Fund of Beijing (16YTC027). This work was also supported by the State Scholarship Fund of China.


  1. 1.
    Liu, S., Cui, W., Wu, Y., Liu, M.: A survey on information visualization: recent advances and challenges. Vis. Comput. 30, 1373–1393 (2014)CrossRefGoogle Scholar
  2. 2.
    Pettersen, E.F., Goddard, T.D., Huang, C.C., et al.: UCSF Chimera a visualization system for exploratory research and analysis. J. Comput. Chem. 25(13), 1605–1612 (2004)CrossRefGoogle Scholar
  3. 3.
    Upson, C., Faulhaber, T.A., Kamins, D., et al.: The application visualization system: a computational environment for scientific visualization. IEEE Comput. Graph. Appl. 9(4), 30–42 (1989)CrossRefGoogle Scholar
  4. 4.
    Shi, X., Yu, Z., Chen, J., Xu, H., Lin, F.: The visual analysis of flow pattern for public bicycle system. J. Vis. Lang. Comput. 45, 51–60 (2018)CrossRefGoogle Scholar
  5. 5.
    Cao, N., Cui, W.: Overview of text visualization techniques. Introduction to Text Visualization. ABAI, vol. 1, pp. 11–40. Atlantis Press, Paris (2016). Scholar
  6. 6.
    Kucher, K., Kerren, A.: Text visualization techniques: taxonomy, visual survey, and community insights. In: 2015 IEEE Pacific Visualization Symposium (PacificVis), Hangzhou, China, pp. 117–121 (2015)Google Scholar
  7. 7.
    People’s Daily.
  8. 8.
    Jieba: Chinese text segmentation toolkit.
  9. 9.
    Kaser, O., Lemire, D.: Tag-cloud drawing: algorithms for cloud visualization. arXiv preprint cs/0703109 (2007)Google Scholar
  10. 10.
    Viegas, F.B., Wattenberg, M., Feinberg, J.: Participatory visualization with wordle. IEEE Trans. Visual. Comput. Graph. 15(6), 1137–1144 (2009)CrossRefGoogle Scholar
  11. 11.
    Burch, M., Lohmann, S., Beck, F., Rodriguez, N., Di Silvestro, L., Weiskopf, D.: Radcloud: visualizing multiple texts with merged word clouds. In: 2014 18th IEEE International Conference on Information Visualisation (IV), pp. 108–113 (2014)Google Scholar
  12. 12.
  13. 13.
    Stasko, J., Gorg, C., Liu, Z.: Jigsaw: supporting investigative analysis through interactive visualization. Inf. Visual. 7, 118–132 (2008)CrossRefGoogle Scholar
  14. 14.
    Satyanarayan, A., Russell, R., Hoffswell, J., Heer, J.: Reactive vega: a streaming dataflow architecture for declarative interactive visualization. IEEE Trans. Visual. Comput. Graph. 22(1), 659–668 (2016)CrossRefGoogle Scholar
  15. 15.
    Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)zbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Mechanical EngineeringUniversity of Science and Technology BeijingBeijingChina
  2. 2.School of History and CivilizationShaanxi Normal UniversityXi’anChina

Personalised recommendations