Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jentsch, Carsten | - |
dc.contributor.author | Mammen, Enno | - |
dc.contributor.author | Müller, Henrik | - |
dc.contributor.author | Rieger, Jonas | - |
dc.contributor.author | Schötz, Christof | - |
dc.date.accessioned | 2021-09-14T11:45:51Z | - |
dc.date.available | 2021-09-14T11:45:51Z | - |
dc.date.issued | 2021-09-14 | - |
dc.identifier.uri | http://hdl.handle.net/2003/40491 | - |
dc.identifier.uri | https://doi.org/10.17877/de290r-22363 | - |
dc.language.iso | en | de |
dc.relation.ispartofseries | DoCMA Working Paper;8 | en |
dc.subject | Poisson reduced-rank models | en |
dc.subject | latent Dirichlet allocation | en |
dc.subject | CDU | de |
dc.subject | CSU | de |
dc.subject | union | en |
dc.subject | SPD | de |
dc.subject | Grüne | de |
dc.subject | FDP | de |
dc.subject | Linke | de |
dc.subject | Kenia | de |
dc.subject | Jamaica | en |
dc.subject | Ampel | de |
dc.subject | Deutschland | de |
dc.subject | R2G | de |
dc.subject | coalition | en |
dc.subject.ddc | 004 | - |
dc.subject.ddc | 070 | - |
dc.subject.ddc | 310 | - |
dc.title | Text mining methods for measuring the coherence of party manifestos for the German federal elections from 1990 to 2021 | de |
dc.type | Text | de |
dc.type.publicationtype | workingPaper | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | false | de |
Appears in Collections: | DoCMA Working Papers |
This item is protected by original copyright |
This item is protected by original copyright
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