DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | von Luck, Kai | - |
dc.contributor.author | Arkhipov, Igoor | |
dc.date.accessioned | 2020-09-29T14:43:08Z | - |
dc.date.available | 2020-09-29T14:43:08Z | - |
dc.date.created | 2018 | |
dc.date.issued | 2018-07-20 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12738/8402 | - |
dc.description.abstract | Die 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.abstract | This 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.iso | de | de |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | - |
dc.subject.ddc | 004 Informatik | |
dc.title | Extraktion und Stimmungsanalyse von Tweets bezüglich bestimmter Schlüsselwörter | de |
dc.title.alternative | Retrieval and Sentiment Analysis of Tweets including specific keywords | en |
dc.type | Thesis | |
openaire.rights | info:eu-repo/semantics/openAccess | |
thesis.grantor.department | Department Informatik | |
thesis.grantor.place | Hamburg | |
thesis.grantor.universityOrInstitution | Hochschule für angewandte Wissenschaften Hamburg | |
tuhh.contributor.referee | Neitzke, Michael | - |
tuhh.gvk.ppn | 102735775X | |
tuhh.identifier.urn | urn:nbn:de:gbv:18302-reposit-84040 | - |
tuhh.note.extern | publ-mit-pod | |
tuhh.note.intern | 1 | |
tuhh.oai.show | true | en_US |
tuhh.opus.id | 4337 | |
tuhh.publication.institute | Department Informatik | |
tuhh.type.opus | Bachelor Thesis | - |
dc.subject.gnd | Twitter <Softwareplattform> | |
dc.subject.gnd | Data Mining | |
dc.type.casrai | Supervised Student Publication | - |
dc.type.dini | bachelorThesis | - |
dc.type.driver | bachelorThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | |
dc.type.thesis | bachelorThesis | |
dcterms.DCMIType | Text | - |
tuhh.dnb.status | domain | - |
item.creatorGND | Arkhipov, Igoor | - |
item.fulltext | With Fulltext | - |
item.creatorOrcid | Arkhipov, Igoor | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.advisorGND | von Luck, Kai | - |
item.languageiso639-1 | de | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.openairetype | Thesis | - |
Appears in Collections: | Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Arkhipov_Bachelorthesis.pdf | 1.14 MB | Adobe PDF | View/Open |
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