Conditional text hashing utilizing pair-wise multi class labels
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Xuan, Richeng | - |
dc.contributor.author | 심준호 | - |
dc.contributor.author | Lee, Sang-Goo | - |
dc.date.available | 2021-02-22T05:35:26Z | - |
dc.date.issued | 2020-04 | - |
dc.identifier.issn | 1881-803X | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2463 | - |
dc.description.abstract | With the massive explosion of mosquito data, dealing with large amounts of text data has become problematic. Although more and more complex methods can understand and process semantics more accurately, they become less applicable to large-scale text data. Text hashing is one of the effective approaches, since it may reduce processing speed to a completely different scale extreme. Previous study has focused on single document classification, or the document pair binary classification problem. In this paper, we propose a supervised multi conditional semantic text hashing method. Experimental results on public datasets show that our method can generate multi conditional hash code. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ICIC International | - |
dc.title | Conditional text hashing utilizing pair-wise multi class labels | - |
dc.type | Article | - |
dc.publisher.location | 일본 | - |
dc.identifier.doi | 10.24507/icicel.14.04.417 | - |
dc.identifier.scopusid | 2-s2.0-85081983001 | - |
dc.identifier.bibliographicCitation | ICIC Express Letters, v.14, no.4, pp 417 - 422 | - |
dc.citation.title | ICIC Express Letters | - |
dc.citation.volume | 14 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 417 | - |
dc.citation.endPage | 422 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.url | http://www.icicel.org/ell/contents/2020/4/el-14-04-13.pdf | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.