Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
텍스트 마이닝에서 단어 임베딩 기법인 word2vec기법을 이용한 기상산업기술원 R&D 과제의 최종보고서 핵심 단어 경향 분석
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이영섭 | - |
| dc.contributor.author | 선현석 | - |
| dc.date.accessioned | 2025-09-09T08:31:28Z | - |
| dc.date.available | 2025-09-09T08:31:28Z | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/60446 | - |
| dc.title | 텍스트 마이닝에서 단어 임베딩 기법인 word2vec기법을 이용한 기상산업기술원 R&D 과제의 최종보고서 핵심 단어 경향 분석 | - |
| dc.title.alternative | Analysis of the key word trends in the final report of R&D project of the KMI using word2vec method of word embedding in text mining | - |
| dc.type | Patent | - |
| dc.publisher.location | 대한민국 | - |
| dc.contributor.assignee | 동국대학교산학협력단 | - |
| dc.date.application | 2018-07-30 | - |
| dc.date.registration | 2018-07-30 | - |
| dc.type.iprs | 소프트웨어 | - |
| dc.identifier.patentRegistrationNumber | C-2018-019145 | - |
| dc.identifier.patentApplicationNumber | 출원번호없음 | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Natural Science > Department of Statistics > 4. Patents
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Lee, Yung Seop
- College of Natural Science (Department of Statistics)