在Suomi24的采矿安全讨论

Eetu Haapamäki, J. Mikkola, Markus Hirsimäki, M. Oussalah
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引用次数: 0

摘要

本研究探讨了如何应用基于社交网络的方法来挖掘Suomi24在线论坛中面向安全的讨论。该方法采用学生调查问卷收集芬兰国家安全相关的词典。在随后的分析中,将词汇词汇映射到Suomi24语料库,以构建相关的社会网络分析,量化各种词汇词汇之间的依赖关系。特别是对网络拓扑结构动态变化的分析,将使决策者能够设计出合适的传播方案,最大限度地干预公共领域,接触到更广泛的受众。此外,开发了一个从垂直文本数据格式中查找关键字的解析器,以帮助构建带下划线的社交网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining Security discussions in Suomi24
This study examines how social network based approach can be applied in order to mine the security oriented discussions in Suomi24 online forum. The approach employs a student survey questionnaire to collect a dictionary related to Finland national security. In subsequent analysis, the vocabulary terms are mapped to Suomi24 corpus in order to construct the associated social network analysis that quantifies the dependency among the various vocabulary terms. Especially, the analysis of the dynamic variation of the network topology would enable the decision-maker to devise appropriate communication scheme to maximize intervention in the public sphere and reach a wider audience. Besides, a parser that finds the keywords from VeRticalzed text data format is developed to aid the construction of the underlined social network.
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