政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/157011

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/157011

Title:	Interpersonal Network Modeling Based on Text Analysis: A Case Study Using the Overseas Taiwanese Leftist Database
Authors:	廖文宏 Liao, Wen-Hung;Wu, Yi-Chieh;Hsueh, Hua-Yuan;Chang, Hui-Chen
Contributors:	資訊系
Keywords:	Natural Language Processing;Deep Learning;Named Entity Recognition;Interpersonal Relationship Network;Data Visualization
Date:	2025-01
Issue Date:	2025-05-19 11:44:27 (UTC+8)
Abstract:	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.
Relation:	Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication (IMCOM), IEEE SMC Society
Data Type:	conference
DOI 連結:	https://doi.org/10.1109/IMCOM64595.2025.10857495
DOI:	10.1109/IMCOM64595.2025.10857495
Appears in Collections:	[資訊科學系] 會議論文

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