Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis.
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| Title: | Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis. |
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| Authors: | Murshed, Belal Abdullah Hezam1,2, belal.a.hezam@gmail.com, Mallappa, Suresha1, Abawajy, Jemal3, Saif, Mufeed Ahmed Naji4, Al-ariki, Hasib Daowd Esmail5,6, Abdulwahab, Hudhaifa Mohammed7 |
| Source: | Artificial Intelligence Review; Jun2023, Vol. 56 Issue 6, p5133-5260, 128p |
| 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: 163335373 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-022-10254-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 128 StartPage: 5133 Titles: – TitleFull: Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Murshed, Belal Abdullah Hezam – PersonEntity: Name: NameFull: Mallappa, Suresha – PersonEntity: Name: NameFull: Abawajy, Jemal – PersonEntity: Name: NameFull: Saif, Mufeed Ahmed Naji – PersonEntity: Name: NameFull: Al-ariki, Hasib Daowd Esmail – PersonEntity: Name: NameFull: Abdulwahab, Hudhaifa Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 – Type: issue Value: 6 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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