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Proposal of text mining and interpretable machine learning methodologies to identified valuable UGCs and alleviate information overload on online community
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | LEE, Hong Chul | - |
| dc.date.accessioned | 2022-04-02T09:41:59Z | - |
| dc.date.available | 2022-04-02T09:41:59Z | - |
| dc.date.created | 2022-04-02 | - |
| dc.date.issued | 2021-08-27 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/139502 | - |
| dc.publisher | International Federation of Operational Research Societies IFORS | - |
| dc.title | Proposal of text mining and interpretable machine learning methodologies to identified valuable UGCs and alleviate information overload on online community | - |
| dc.title.alternative | 가치 있는 UGC 식별 및 온라인 커뮤니티의 정보 과부하 완화를 위한 텍스트 마이닝 및 해석 가능한 머신 러닝 방법론 제안 | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | LEE, Hong Chul | - |
| dc.identifier.bibliographicCitation | The 22nd Conference of the International Federation of Operational Research Societies IFORS 2021 Virtual | - |
| dc.relation.isPartOf | The 22nd Conference of the International Federation of Operational Research Societies IFORS 2021 Virtual | - |
| dc.relation.isPartOf | IFORS 2021 | - |
| dc.citation.title | The 22nd Conference of the International Federation of Operational Research Societies IFORS 2021 Virtual | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferenceDate | 2021-08-23 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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