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An LSTM based forecasting for major stock sectors using COVID sentiment

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dc.contributor.authorJabeen, Ayesha-
dc.contributor.authorAfzal, Sitara-
dc.contributor.authorMaqsood, Muazzam-
dc.contributor.authorMehmood, Irfan-
dc.contributor.authorYasmin, Sadaf-
dc.contributor.authorTabish Niaz, Muhammad-
dc.contributor.authorNam, Yunyoung-
dc.date.accessioned2021-08-11T08:30:13Z-
dc.date.available2021-08-11T08:30:13Z-
dc.date.created2021-06-17-
dc.date.issued2021-01-01-
dc.identifier.issn1546-2218-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2088-
dc.publisherTech Science Press-
dc.titleAn LSTM based forecasting for major stock sectors using COVID sentiment-
dc.typeArticle-
dc.contributor.affiliatedAuthorNam, Yunyoung-
dc.identifier.doi10.32604/cmc.2021.014598-
dc.identifier.scopusid2-s2.0-85099787198-
dc.identifier.bibliographicCitationComputers, Materials and Continua, v.67, no.1-
dc.relation.isPartOfComputers, Materials and Continua-
dc.citation.titleComputers, Materials and Continua-
dc.citation.volume67-
dc.citation.number1-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCOVID-
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