使用DBpedia属性对Twitter帐户进行主题标记

2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2016-10-01 DOI:10.1109/SMAP.2016.7753393

Gerasimos Razis, Ioannis Anagnostopoulos, Petr Šaloun

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引用次数: 4

摘要

在本文中，我们提出了一种迭代算法，用于根据DBpedia属性派生的主题类别自动标记Twitter帐户。我们描述了选择这些主题类别背后的基本原理，并讨论了它们的评估评估。最后，我们提出并分析了两种通用和适应性强的方法，用于发现必要的关联数据资源，以进一步增强Twitter帐户的主题描述。

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Thematic labeling of Twitter accounts using DBpedia properties

In this paper, we propose an iterative algorithm towards the automatic labeling of Twitter accounts in respect to thematic categories derived from DBpedia properties. We describe the rationale behind the selection of these thematic categories, and discuss their evaluation assessment. Finally, we propose and analyze two generic and adaptable methodologies for discovering the necessary linked data resources for further enhancing the thematic description of Twitter accounts.

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2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

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