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학술지 Related Document Extraction based on Topic Modeling using Cloud System
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저자
황명하, 하수욱, 인민교, 이강찬
발행일
201804
출처
International Journal of Grid and Distributed Computing, v.11 no.5, pp.91-100
ISSN
2005-4262
출판사
SERSC
DOI
https://dx.doi.org/10.14257/ijgdc.2018.11.5.08
협약과제
18HE1500, 클라우드컴퓨팅 상호운용성 표준 개발, 이강찬
초록
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 제안 키워드
Cloud system, Document extraction, ITU-T, Topic Modeling