How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers' decisions on the number of coders, the algorithm learning procedure, and the pre-processing steps on the performance of supervised models
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| Title: | How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers' decisions on the number of coders, the algorithm learning procedure, and the pre-processing steps on the performance of supervised models |
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| Authors: | Matuszewski, Paweł1 (AUTHOR) pawel.matuszewski@civitas.edu.pl |
| Source: | Quality & Quantity. Feb2023, Vol. 57 Issue 1, p301-321. 21p. |
| Database: | Sociology Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: sxi DbLabel: Sociology Source Ultimate An: 161607110 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers' decisions on the number of coders, the algorithm learning procedure, and the pre-processing steps on the performance of supervised models – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Matuszewski%2C+Paweł%22">Matuszewski, Paweł</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pawel.matuszewski@civitas.edu.pl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+%26+Quantity%22">Quality & Quantity</searchLink>. Feb2023, Vol. 57 Issue 1, p301-321. 21p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=sxi&AN=161607110 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11135-022-01372-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 301 Titles: – TitleFull: How to prepare data for the automatic classification of politically related beliefs expressed on Twitter? The consequences of researchers' decisions on the number of coders, the algorithm learning procedure, and the pre-processing steps on the performance of supervised models Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Matuszewski, Paweł IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00335177 Numbering: – Type: volume Value: 57 – Type: issue Value: 1 Titles: – TitleFull: Quality & Quantity Type: main |
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