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dc.contributor.authorScotto Di Vettimo, M
dc.contributor.authorHaraldsson, A
dc.contributor.authorBanducci, S
dc.contributor.authorKoc-Michalska, K
dc.contributor.authorGelovani, S
dc.contributor.authorTheocharis, Y
dc.contributor.authorKalsnes, B
dc.date.accessioned2022-11-22T15:09:03Z
dc.date.issued2022-11-22
dc.date.updated2022-11-21T17:21:53Z
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.doi10.24378/exe.4344
dc.identifier.urihttp://hdl.handle.net/10871/131831
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.rights.embargoreasonThese data are under embargo until 30-09-2023 for use in ongoing research.en_GB
dc.rightsCC BY 4.0en_GB
dc.subjectText analysisen_GB
dc.subjectTraining needsen_GB
dc.subjectResearch challengesen_GB
dc.subjectText-as-dataen_GB
dc.titleA survey of the research challenges and training needs in text analysis for political science researchen_GB
dc.typeDataseten_GB
dc.date.available2022-11-22T15:09:03Z
dc.descriptionThis online survey assessed the research challenges, training needs and preferences of researchers and practitioners (of all seniority and skills level) that use or are interested in using text analysis techniques in their research. The survey has been conducted within the context of the Horizon 2020 OPTED project (http://www.opted.eu).en_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
rioxxterms.versionNAen_GB
rioxxterms.licenseref.startdate2023-09-30
rioxxterms.typeOtheren_GB
refterms.dateFOA2022-11-22T15:09:03Z


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Except where otherwise noted, this item's licence is described as CC BY 4.0