Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/126443
題名: Textual analysis for studying Chinese historical documents and literary novels
作者: Cheng, Wen-huei
Wang, Yu-Chun
Liu, Chao-Lin
Wang, Hongsu
Jin, Guan-Tao
Tsai, Richard Tzong-Han
Liu, Qing-Feng
貢獻者: 中文系
關鍵詞: digital humanities; computational linguistics; textual analysis; text mining; temporal analysis; geographical analysis; keyword collocation; named entity recognition; name disambiguation; history of concepts; transliterated words in Chinese historical documents; 228 incident in Taiwan
日期: Jan-2015
上傳時間: 27-Sep-2019
摘要: We analyzed historical and literary documents in Chinese to gain insights into research issues, and overview our studies which utilized four different sources of text materials in this paper. We investigated the history of concepts and transliterated words in China with the Database for the Study of Modern China Thought and Literature, which contains historical documents about China between 1830 and 1930. We also attempted to disambiguate names that were shared by multiple government officers who served between 618 and 1912 and were recorded in Chinese local gazetteers. To showcase the potentials and challenges of computer-assisted analysis of Chinese literatures, we explored some interesting yet non-trivial questions about two of the Four Great Classical Novels of China: (1) Which monsters attempted to consume the Buddhist monk Xuanzang in the Journey to the West (JTTW), which was published in the 16th century, (2) Which was the most powerful monster in JTTW, and (3) Which major role smiled the most in the Dream of the Red Chamber, which was published in the 18th century. Similar approaches can be applied to the analysis and study of modern documents, such as the newspaper articles published about the 228 incident that occurred in 1947 in Taiwan.
關聯: Proceedings of The Fourth ASE International Conference on Social Informatics, The Fourth ASE
資料類型: conference
Appears in Collections:會議論文

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