Applying data mining and machine learning techniques for sentiment shifter identification.
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| Title: | Applying data mining and machine learning techniques for sentiment shifter identification. |
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| Authors: | Rahimi, Zeinab1, Shamsfard, Mehrnoush1, Noferesti, Samira2 |
| Source: | Language Resources & Evaluation; Jun2019, Vol. 53 Issue 2, p279-302, 24p |
| Database: | Humanities Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: hus DbLabel: Humanities Source An: 136891171 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10579-018-9432-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 279 Titles: – TitleFull: Applying data mining and machine learning techniques for sentiment shifter identification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahimi, Zeinab – PersonEntity: Name: NameFull: Shamsfard, Mehrnoush – PersonEntity: Name: NameFull: Noferesti, Samira IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 1574020X Numbering: – Type: volume Value: 53 – Type: issue Value: 2 Titles: – TitleFull: Language Resources & Evaluation Type: main |
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