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.
CITATION STYLE
Wang, X., Qin, J., & Li, D. (2018). Interactive visualization of people’s daily. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10919 LNCS, pp. 389–400). Springer Verlag. https://doi.org/10.1007/978-3-319-91803-7_29
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