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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
- 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