English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113311/144292 (79%)
Visitors : 50930342      Online Users : 1012
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/123572


    Title: 數位人文視野下的歷史分期法：以《人民日報》（1946-2016）中深圳主題報導為例
    A Digital Humanities Research on the Method for Periodization of History：The Example Based on the Shenzhen-related News Reports in the People`s Daily (1946-2016)
    Authors: 邱偉雲
    Chiu, Wei-Yun
    梁穎誼
    Leong, Yin-Yee
    許翰笙
    Hsu, Aaron
    Contributors: 圖資與檔案學刊
    Keywords: 深圳;人民日報;歷史分期;轉折點偵測;數位人文
    Shenzhen;People`s Daily;history periodization;change point problem;digital humanities
    Date: 2018-06
    Issue Date: 2019-05-23 10:04:20 (UTC+8)
    Abstract: 本文研究目的是希望能從數位人文研究的角度，提出一種質量並重的歷史分期法，以有別於過去多從個人主觀視角出發進行定性的歷史分期工作。本文以1946-2016年間《人民日報》中所有標題中包含「深圳」一詞的報導文章為研究範圍，共有3,203篇，運用（1）人工主觀分期；（2）數值高峰分期；（3）關鍵詞叢異同分期等三種方法，對為期70年的涉深報導進行分期工作。在研究過程中發現，上述三種分期法雖都可進行歷史分期工作，然皆有其侷限性，即這些分期法都含有個人主觀性，在進行分期工作時往往因人而異。因此，本文提出第四種歷史分期法，嘗試以量化數據作為客觀分期之標準，為長時段的歷史研究提供一分期工作上的新方法與新視野，此即為本文研究結果與價值所在。
    This study aims to provide a method of historical periodization based on digital humanities that could better combine qualitative and quantitative analysis than previous ones. This study singled out 3,203 news reports in the People`s Daily, 1946 to 2016, whose headlines contained ＂Shenzhen＂ and respectively applied 1) artificial periodization, 2) peak number periodization, and 3) keyword cluster periodization to these Shenzhen-related news reports. The results show that three methods of periodization respectively have their limitations on objectivity. This paper thus suggests an automatic periodization based on quantitative datasets and this data-driven method could provide a novel perspective for the long-term historical analysis in the future.
    Relation: 圖資與檔案學刊, 92, 22-43
    Data Type: article
    DOI 連結: https://doi.org/10.6575/JILA.201806_(92).0002
    DOI: 10.6575/JILA.201806_(92).0002
    Appears in Collections:[圖資與檔案學刊] 期刊論文

    Files in This Item:

    File Description SizeFormat
    3.pdf1229KbAdobe PDF2238View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback