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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99086

    Title: A text mining analysis of US-China joint statements in 2009 and 2011
    Authors: Guo, Jiann-Jong;Wu, Shian-Ghau
    Contributors: 淡江大學中國大陸研究所
    Keywords: Text Mining;Data Mining;KNIME;R language
    Date: 2012-09-10
    Issue Date: 2014-10-13 15:07:32 (UTC+8)
    Publisher: Trabzon: Sila Science
    Abstract: In recent years, much research has been devoted to the analysis of the US-China relationship. However, few have deployed the content analysis of the joint statements between both countries in order to grasp the change of the relationship in different time frames. In fact, grasping the trend change of the US-China relationship is imperative for academic researchers and policy makers. In this paper, we analyzed the trend change of the US-China relationship by means of applying the text mining analysis to two joint statements in the years of 2009 and 2011. The contribution of this study included the following two points. First, the study has found the main focus of the Joint Statements shifted from mutual cooperation to the focuses of economic development, investment and the continuity of bilateral relations. Second, the study found a new way of literature survey in diplomatic studies by using the text mining method in order to explore the trend change.
    Relation: Energy Education Science and Technology, Part A: Energy Science and Research 30(SI-1), pp.405-416
    DOI: 10.1007/978-3-642-23345-6_109
    Appears in Collections:[Graduate Institute of China Studies] Journal Article

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