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Interactive Visualization of People’s Daily

  • Xiaohui Wang
  • Jingyan Qin
  • Dawei Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10919)

Abstract

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.

Keywords

Interaction Text visualization People’s Daily Data mining 

Notes

Acknowledgment

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.

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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

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