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Sentiment analysis with Twitter

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dc.contributor.authorAkgul, Eyup Sercan
dc.contributor.authorErtano, Caner
dc.contributor.authorDiri, Banu
dc.date.accessioned2026-06-27T13:46:56Z
dc.date.issued2016
dc.description.abstractSentimental Twitter software is parsing, analyzing and reporting Twitter data, giving service to individuals and corporate users via its user friendly graphical user interface. Each tweet is classified as positive, negative or neutral in Sentimental Twitter. In this study, both lexicon and n-gram method has been used to perform and implement two different methods. As a result the lexicon method has been measured more performance than the n-gram method.en
dc.description.urihttps://doi.org/10.5505/pajes.2015.37268
dc.identifier.doi10.5505/pajes.2015.37268
dc.identifier.eissn2147-5881
dc.identifier.endpage110
dc.identifier.issn1300-7009
dc.identifier.issue2
dc.identifier.startpage106
dc.identifier.urihttps://hdl.handle.net/20.500.14981/54747
dc.identifier.volume22
dc.identifier.wos000443161500005
dc.language.isotur
dc.publisherPAMUKKALE UNIV
dc.relation.ispartofPAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
dc.rightsopenAccess
dc.subjectSentiment analysis
dc.subjectn-gram
dc.subjectLexicon
dc.subjectEngineering
dc.titleSentiment analysis with Twitter
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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