Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Lee, M. | - |
dc.contributor.author | Seok, J. | - |
dc.date.accessioned | 2024-01-09T04:33:58Z | - |
dc.date.available | 2024-01-09T04:33:58Z | - |
dc.date.issued | 2022-07 | - |
dc.identifier.issn | 2165-8528 | - |
dc.identifier.issn | 2165-8536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69897 | - |
dc.description.abstract | Multi-label classification is rapidly developing as an important aspect of modern predictive modeling. In this paper, we propose a multi-label text classification approach in order to extract the labels of economic concepts from economic news articles. We demonstrate a multi-label sentence-level event classification with a multi-label classifier algorithm. The classifier uses BERT Model and classification based on the association between labels via a threshold. The experiment on real-world multi-label data with many labels demonstrates an appealing performance and efficiency of multi-label classification. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICUFN55119.2022.9829557 | - |
dc.identifier.bibliographicCitation | International Conference on Ubiquitous and Future Networks, ICUFN, v.2022-July, pp 417 - 420 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000855059600086 | - |
dc.identifier.scopusid | 2-s2.0-85135240954 | - |
dc.citation.endPage | 420 | - |
dc.citation.startPage | 417 | - |
dc.citation.title | International Conference on Ubiquitous and Future Networks, ICUFN | - |
dc.citation.volume | 2022-July | - |
dc.type.docType | Proceedings Paper | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Multi-label Classification | - |
dc.subject.keywordAuthor | Natural Language Processing | - |
dc.subject.keywordAuthor | Text Classification | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scopus | - |
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