Toward Cloud-based Classification and Annotation Support

被引：9
|
作者：
Swoboda, Tobias [1 ]
Kaufmann, Michael [2 ]
Hemmje, Matthias L. [1 ]
机构：
[1] Univ Hagen, Fac Math & Comp Sci, Univ Str 47, D-58084 Hagen, Germany
[2] Lucerne Univ Appl Sci & Arts, Technikumstr 21, CH-6048 Horw, Switzerland
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, VOL 2 (CLOSER) | 2016年
关键词：
Text Categorization; Evaluation; Architecture; Cloud Cost Analysis; Internet of Services; XaaS; Cloud Services;
D O I：
10.5220/0005744201310137
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Manually annotating content-based categories to existing documents is a time-consuming task for human domain experts. In order to ease this effort, automated text categorization is used. This paper evaluates the state of the art in cloud-based text categorization and proposes an architecture for flexible cloud-based classification and annotation support, leveraging the advantages provided by cloud-based architectures.
引用
收藏
页码：131 / 137
页数：7
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