Analyzing Sentiment Markers Describing Radical and Counter-Radical Elements in Online News
Analyzing Sentiment Markers Describing Radical and Counter-Radical Elements in Online News
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分析在线新闻中描述激进和反激进元素的情绪标记
DOI：
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发表时间：
2010
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影响因子：
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通讯作者：
A. Amin
中科院分区：
文献类型：
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作者：
H. Davulcu;S. Ahmed;Sedat Gokalp;M. Temkit;Tom Taylor;Mark Woodward;A. Amin
在这项研究中，我们的目标是从印度尼西亚获得跨越十年(1999年5月至2010年1月)的77,000篇文章中提到的151个当地非政府组织和机构的“自然分组”。我们的目标之一是加强我们对穆斯林世界关键地区反激进运动的了解。我们提出了信息提取技术来识别实体及其在文本中的信仰和实践，作为识别具有解释能力的社会意义尺度的一步。然后，我们继续根据这些规模对组织进行集群。我们介绍了实验结果，并讨论了各种组织的领导者和追随者同时持有的许多信念、实践和态度的复杂交互作用在推理中的挑战。
In this study, we aim to obtain “natural groupings” of 151 local non-government organizations and institutions mentioned in a news archive of 77,000 articles spanning a decade (May 1999 to Jan 2010) from Indonesia. One of our goals is to enhance our understanding of counter-radical movements in critical locations in the Muslim world. We present information extraction techniques to recognize entities, and their beliefs and practices in text as a step towards identifying socially significant scales with explanatory power. Then, we proceed to cluster organizations based on these scales. We present experimental results, and discuss challenges in reasoning with the complex interactions of many simultaneous beliefs, practices and attitudes held by the leaders and followers of various organizations.