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dc.contributor.authorHeaton, Dan
dc.contributor.authorFischer, Joel E.
dc.contributor.authorClos, Jeremie
dc.contributor.authorNichele, Elena
dc.contributor.otherHeaton, Dan
dc.contributor.otherFischer, Joel
dc.contributor.otherClos, Jeremie
dc.contributor.otherNichele, Elena
dc.coverage.temporal30-11-2022 to 06-03-2023en_UK
dc.date.accessioned2024-06-03T08:38:52Z
dc.date.available2024-06-03T08:38:52Z
dc.date.issued2024-06-03
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/11429
dc.description.abstractTopic modelling, sentiment analysis and emotion detection results from NLP analysis of tweets relating to ChatGPT.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.lcshchatbotsen_UK
dc.subject.lcshartificial intelligenceen_UK
dc.subject.lcshneurolinguistic programmingen_UK
dc.subject.lcshsentiment analysisen_UK
dc.subject.lcshtopicen_UK
dc.subject.lcshemotionen_UK
dc.titleChatGPT Twitter Data - NLP Analysisen_UK
dc.typedataset
dc.identifier.doihttp://doi.org/10.17639/nott.7424
dc.subject.freeChatGPT, chatbot, AI, 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.collection30-11-2022 to 06-03-2023en_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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