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dc.contributor.authorFischer, Joel E.
dc.contributor.authorClos, Jeremie
dc.contributor.authorNichele, Elena
dc.contributor.authorHeaton, Dan
dc.contributor.otherFischer, Joel Ewert
dc.contributor.otherClos, Jeremie
dc.contributor.otherNichele, Elena
dc.contributor.otherHeaton, Dan
dc.coverage.temporal12-08-20 to 03-09-2020en_UK
dc.date.accessioned2024-06-03T09:13:39Z
dc.date.available2024-06-03T09:13:39Z
dc.date.issued2024-06-03
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/11426
dc.description.abstractTopic modelling, sentiment analysis and emotion detection results for Twitter data associated with the 2020 A Level grade calculation algorithm. All tweets are in the form of tweet IDs.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshEducational tests and measurements – Data processingen_UK
dc.subject.lcshGrading and marking (Students) -- Data processingen_UK
dc.subject.lcshComputer algorithmsen_UK
dc.subject.lcshDecision making -- Data processingen_UK
dc.titleA Level Algorithm Twitter Data - NLP Analysisen_UK
dc.typedataset
dc.identifier.doihttp://doi.org/10.17639/nott.7421
dc.subject.freeofqual, a level, nlp, sentiment, topic, emotion, decision-making algorithmen_UK
dc.subject.jacsComputer Sciences::Computer science::Human-computer interactionen_UK
dc.subject.lcQ Science::QA Mathematics::QA 75 Electronic computers. Computer scienceen_UK
dc.date.collection12-08-20 to 03-09-2020en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.funder.controlledEngineering & Physical Sciences Research Councilen_UK
uon.datatypeNLP analysis resultsen_UK
uon.grantEP/V00784X/1en_UK
uon.grantEP/S023305/1en_UK
uon.collectionmethodDownloaded using Tweepy app and Twitter Academic API.en_UK
uon.legalFull tweets have not been included and, instead, tweet IDs are displayed.en_UK
uon.institutes-centresUniversity of Nottingham, UK Campus::Horizon Digital Economy Huben_UK


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