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A vector space model approach to social relation extraction from text corpus

机译:文本语料库中社会关系提取的矢量空间模型方法

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Social network analysis (SNA) is significantly about research of social relations as well as structure in social environment. All the dependencies between people, organizations and environment constitute one or several networks. The author presented a vector space model (VSM) approach to extract and represent relations from text corpus. The approach employed VSM to represent the weight value of every social object's frequency in every text. It reflected the relationships between social objects and text corpus. Then the vector space is decomposed into a new vector space reflecting the relationships between social objects. It is concluded that the application of VSM can obtain deeper social relations hid in text and text corpus and increase the effect and efficiency of social network analysis of text corpus.
机译:社会网络分析(SNA)大大关于社会关系的研究以及社会环境中的结构。人,组织和环境之间的所有依赖项都构成了一个或多个网络。作者介绍了一个矢量空间模型(VSM)方法来提取并表示文本语料库的关系。该方法采用VSM表示每个文本中每个社交对象频率的权重值。它反映了社会对象和文本语料库之间的关系。然后向量空间被分解为反映社交对象之间关系的新矢量空间。结论是,VSM的应用可以获得文本和文本语料库中的更深层次的社会关系,并提高文本语料库的社会网络分析的效果和效率。

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