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Journal Article Related Document Extraction based on Topic Modeling using Cloud System
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Authors
Myeong-Ha Hwang, Suwook Ha, Minkyo In, Kangchan Lee
Issue Date
2018-04
Citation
International Journal of Grid and Distributed Computing, v.11, no.5, pp.91-100
ISSN
2005-4262
Publisher
SERSC
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.14257/ijgdc.2018.11.5.08
Abstract
Recently, studies on document recommendation and related document extraction using topic modeling have progressed. By using topic modeling, we can quickly understand the general overview of the documents. In this paper, we propose a method to extract related documents based on topic modeling using cloud system. The method consists of 8 steps. The proposed method is applied to extract related documents for each topic. Experiments are conducted using ITU-T Recommendations. As a result of the experiments, it is confirmed that the extracted documents are related to each series including a subject.
KSP Keywords
Cloud systems, Document extraction, ITU-T, Topic Modeling