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dc.contributor.advisorvon Luck, Kai-
dc.contributor.authorArkhipov, Igoor
dc.date.accessioned2020-09-29T14:43:08Z-
dc.date.available2020-09-29T14:43:08Z-
dc.date.created2018
dc.date.issued2018-07-20
dc.identifier.urihttp://hdl.handle.net/20.500.12738/8402-
dc.description.abstractDie vorliegende Bachelorarbeit beschreibt die Herangehensweise zur Bewertung der Nachrichten im Kurznachrichtendienst „Twitter“ hinsichtlich ihrer Tonalität. Als Ziel wird die Klassifizierung von Meinungen zu den eingegebenen Schlüsselwörtern gesetzt, ob also eine positive oder negative Stimmung vorliegt.de
dc.description.abstractThis bachelor thesis describes the approach to classify the messages in the short message system "Twitter" with regard to their tonality. The objective is defined as opinion classification for specific keywords. Either their mentioning has a positive sentiment or a negative one.en
dc.language.isodede
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/-
dc.subject.ddc004 Informatik
dc.titleExtraktion und Stimmungsanalyse von Tweets bezüglich bestimmter Schlüsselwörterde
dc.title.alternativeRetrieval and Sentiment Analysis of Tweets including specific keywordsen
dc.typeThesis
openaire.rightsinfo:eu-repo/semantics/openAccess
thesis.grantor.departmentDepartment Informatik
thesis.grantor.placeHamburg
thesis.grantor.universityOrInstitutionHochschule für angewandte Wissenschaften Hamburg
tuhh.contributor.refereeNeitzke, Michael-
tuhh.gvk.ppn102735775X
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-84040-
tuhh.note.externpubl-mit-pod
tuhh.note.intern1
tuhh.oai.showtrueen_US
tuhh.opus.id4337
tuhh.publication.instituteDepartment Informatik
tuhh.type.opusBachelor Thesis-
dc.subject.gndTwitter <Softwareplattform>
dc.subject.gndData Mining
dc.type.casraiSupervised Student Publication-
dc.type.dinibachelorThesis-
dc.type.driverbachelorThesis-
dc.type.statusinfo:eu-repo/semantics/publishedVersion
dc.type.thesisbachelorThesis
dcterms.DCMITypeText-
tuhh.dnb.statusdomain-
item.creatorGNDArkhipov, Igoor-
item.fulltextWith Fulltext-
item.creatorOrcidArkhipov, Igoor-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.advisorGNDvon Luck, Kai-
item.languageiso639-1de-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.openairetypeThesis-
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