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Shifting Policies in Conflict Arenas: A Cosine Similarity and Text Mining Analysis of Turkey’s Syria Policy, 2012-2016

机译:冲突竞技场中不断变化的政策:2012-2016年土耳其的叙利亚政策的余弦相似度和文本挖掘分析

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Turkish policy towards the Syrian civil war, as operationalized in relation to the implementation of no-fly zones, safe zones or buffer zones, has been the subject of much debate among scholars. As the number of foreign states acting in Syria has steadily increased since the onset of the crisis, Turkish policies have similarly shifted. In order to make sense of Turkey’s actions and reactions in the first five years of the Syrian civil war, this article attempts to draw lessons from quantitative methods and methodologies such as text mining, cosine similarity and cosine normalization of content from the Anadolu Agency (AA), a Turkish state-owned press. These methodologies are utilized in support of content analysis and qualitative analysis that hindsight allows. In doing so, we are able to show that these seemingly inexplicable shifts may adhere to a logic and, in some cases, could have been anticipated. Utilizing such methodologies therefore offers a potentially significant contribution to the literature by defining politically feasible outcomes related to foreign or domestic policies.
机译:与实施禁飞区,安全区或缓冲区有关的土耳其针对叙利亚内战的政策已成为学者们争论的主题。自危机爆发以来,在叙利亚采取行动的外国国家数量稳步增加,土耳其的政策也发生了类似的变化。为了弄清土耳其在叙利亚内战的头五年中的行动和反应,本文尝试从定量方法和方法学中汲取经验教训,例如文本挖掘,余弦相似度和阿纳多卢机构(AA)内容的余弦归一化),土耳其国有媒体。这些方法被用于支持事后见识允许的内容分析和定性分析。通过这样做,我们能够证明这些看似莫名其妙的变化可能符合逻辑,并且在某些情况下是可以预料的。因此,通过定义与外交或国内政策相关的在政治上可行的结果,利用这种方法学可以为文献提供潜在的重大贡献。

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