校园枪击案档案大数据处理

M. Farag, P. Nakate, E. Fox
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引用次数: 2

摘要

关于校园枪击事件的网络档案由网页组成,这些网页可能与感兴趣的事件相关,也可能与事件无关。这项工作有三个主要目标;首先是清理网页,这涉及到去除网页上的停止词和不相关的部分。第二个目标是只选择与感兴趣的事件相关的网页。第三个目标是将清理后的相关网页上传到Apache Solr,以便于访问。我们将展示实现这些目标所需的所有步骤的细节。结果表明,代表性的Web档案存在噪声,相关内容仅占2%-40%。通过清理档案,我们帮助研究人员专注于相关内容进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data processing of school shooting archives
Web archives about school shootings consist of webpages that may or may not be relevant to the events of interest. There are 3 main goals of this work; first is to clean the webpages, which involves getting rid of the stop words and non-relevant parts of a webpage. The second goal is to select just webpages relevant to the events of interest. The third goal is to upload the cleaned and relevant webpages to Apache Solr so that they are easily accessible. We show the details of all the steps required to achieve these goals. The results show that representative Web archives are noisy, with 2%-40% relevant content. By cleaning the archives, we aid researchers to focus on relevant content for their analysis.
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