Analyzing sentiment dynamics from sparse text coronavirus disease-19 vaccination using natural language processing model.
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| Title: | Analyzing sentiment dynamics from sparse text coronavirus disease-19 vaccination using natural language processing model. |
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| Authors: | Govindappa, Jalaja1, jalajag.shaker@gmail.com, Channegowda, Kavitha2, kavitha_prasanna@yahoo.com |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708); Aug2022, Vol. 12 Issue 4, p4054-4066, 13p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156854851 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v12i4.pp4054-4066 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 4054 Titles: – TitleFull: Analyzing sentiment dynamics from sparse text coronavirus disease-19 vaccination using natural language processing model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Govindappa, Jalaja – PersonEntity: Name: NameFull: Channegowda, Kavitha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 12 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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