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    题名: Interpersonal Network Modeling Based on Text Analysis: A Case Study Using the Overseas Taiwanese Leftist Database
    作者: 廖文宏
    Liao, Wen-Hung;Wu, Yi-Chieh;Hsueh, Hua-Yuan;Chang, Hui-Chen
    贡献者: 資訊系
    关键词: Natural Language Processing;Deep Learning;Named Entity Recognition;Interpersonal Relationship Network;Data Visualization
    日期: 2025-01
    上传时间: 2025-05-19 11:44:27 (UTC+8)
    摘要: This paper draws on digital archives known as the “Taiwan Times Society” led by the leftist movement leader Tso Hsiung. The database contains magazines, internal newsletters, and correspondence among members published by the Taiwan Times Society from 1970 to 2018, totaling 498 documents with 2.29 million words. After digitization, we employed natural language processing techniques for named entity recognition (NER), keyword extraction, and the analysis of social network relationships among members. The results are dynamically presented through data visualization, creating comprehensive network graphs that encompass various aspects and relationships. Such visualizations serve as convenient tools to assist qualitative and quantitative research in social sciences and digital humanities field.
    關聯: Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication (IMCOM), IEEE SMC Society
    数据类型: conference
    DOI 連結: https://doi.org/10.1109/IMCOM64595.2025.10857495
    DOI: 10.1109/IMCOM64595.2025.10857495
    显示于类别:[資訊科學系] 會議論文

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