An LSTM based forecasting for major stock sectors using COVID sentiment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jabeen, Ayesha | - |
dc.contributor.author | Afzal, Sitara | - |
dc.contributor.author | Maqsood, Muazzam | - |
dc.contributor.author | Mehmood, Irfan | - |
dc.contributor.author | Yasmin, Sadaf | - |
dc.contributor.author | Tabish Niaz, Muhammad | - |
dc.contributor.author | Nam, Yunyoung | - |
dc.date.accessioned | 2021-08-11T08:30:13Z | - |
dc.date.available | 2021-08-11T08:30:13Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.issn | 1546-2218 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2088 | - |
dc.publisher | Tech Science Press | - |
dc.title | An LSTM based forecasting for major stock sectors using COVID sentiment | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Nam, Yunyoung | - |
dc.identifier.doi | 10.32604/cmc.2021.014598 | - |
dc.identifier.scopusid | 2-s2.0-85099787198 | - |
dc.identifier.bibliographicCitation | Computers, Materials and Continua, v.67, no.1 | - |
dc.relation.isPartOf | Computers, Materials and Continua | - |
dc.citation.title | Computers, Materials and Continua | - |
dc.citation.volume | 67 | - |
dc.citation.number | 1 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | COVID | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG 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.