数字人文
项目简介：FDUVIS探索可视化在数字人文中的应用，旨在为人文领域提供数字研究的路径和方法，通过跨学科协同探索大数据时代下人文学科隐含的全新可能。FDUVIS数字人文组聚焦于海量人文数据的可视分析，通过算法和可视化打破对复杂高维数据的认知局限，开辟新的视角，更好地辅助对于人文数据的理解。目前，我们正在开发历史人物传记的可视化自动生成系统。
Project Introduction: FDUVIS explores visualization in digital humanities, which aims to develop computational methods in humanities research and tap into the new possibilities of humanities in the era of big data through interdisciplinary collaboration. Our researches focus on visual analysis of massive humanities data by breaking through the cognitive limitations of complex high-dimensional data through algorithms and visualization, in hope of turning big data in humanities into novel perspectives and actionable insights. Currently, we are developing an automatic generated visualization system for biographical data of historical figures.
相关发表
  • CohortVA: A Visual Analytic System for Progressive Exploration of Cohorts based on Historical Data.
    Wei Zhang, Jason Wong, Xumeng Wang, Youcheng Gong, Rongchen Zhu, Kai Liu, Zihan Yan, Siwei Tan, Huamin Qu, Siming Chen, Wei Chen.
    IEEE Transactions on Visualization and Computer Graphics (VIS'22), Accepted, 2023.
    | Paper | pdf (8.8MB)
  • Visual Reasoning for Uncertainty in Spatio-temporal Events of Historical Figures.
    Wei Zhang, Siwei Tan, Siming Chen*, Linhao Meng, Tianye Zhang, Rongchen Zhu, Wei Chen*.
    IEEE Transactions on Visualization and Computer Graphics (TVCG), Accepted, 2022.
    | Paper | pdf (11.5MB)
  • SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.
    Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang.
    IEEE Transactions on Visualization and Computer Graphics (TVCG), Accepted, 2022.
    | Paper | pdf (8.4MB)
  • What is policy content and how is the public's policy support? A policy cognition study based on natural language processing and social psychology.
    Lingyi Zhou, Dingzhang Dai, Junxia Ren, Xiaoxu Chen, Siming Chen*.
    Frontiers in Psychology, 13:1-16, 2022.
    | Paper | pdf (0.6MB)