Using dynamic semantic structure of news flow to enhance financial forecasting: a twelve-year study on twitter news channels.
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| Title: | Using dynamic semantic structure of news flow to enhance financial forecasting: a twelve-year study on twitter news channels. |
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| Authors: | Bodaghi, Amirhosein1, a.bodaghi@ulster.ac.uk, Zhu, Jonathan J. H.2,3, j.zhu@cityu.edu.hk |
| Source: | Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 24, p28191-28223, 33p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186838709 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-20274-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 28191 Titles: – TitleFull: Using dynamic semantic structure of news flow to enhance financial forecasting: a twelve-year study on twitter news channels. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bodaghi, Amirhosein – PersonEntity: Name: NameFull: Zhu, Jonathan J. H. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 24 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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