Sentiment analysis survey: datasets, techniques, applications, tools, and challenges.
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| Title: | Sentiment analysis survey: datasets, techniques, applications, tools, and challenges. |
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| Authors: | Hankar, Mustapha1, hankar.mustapha@gmail.com, Mzili, Toufik1, Kasri, Mohammed1,2, Beni-Hssane, Abderrahim1 |
| Source: | Knowledge & Information Systems; Oct2025, Vol. 67 Issue 10, p8219-8265, 47p |
| 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: 188684104 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10115-025-02499-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 47 StartPage: 8219 Titles: – TitleFull: Sentiment analysis survey: datasets, techniques, applications, tools, and challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hankar, Mustapha – PersonEntity: Name: NameFull: Mzili, Toufik – PersonEntity: Name: NameFull: Kasri, Mohammed – PersonEntity: Name: NameFull: Beni-Hssane, Abderrahim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02191377 Numbering: – Type: volume Value: 67 – Type: issue Value: 10 Titles: – TitleFull: Knowledge & Information Systems Type: main |
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