Stream text data analysis on twitter using apache spark streaming

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dc.contributor.authorHakdagli, O.
dc.contributor.authorÖzcan, C.
dc.contributor.authorOgul, I.U.
dc.date.accessioned2024-09-29T16:16:40Z
dc.date.available2024-09-29T16:16:40Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.descriptionAselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- Izmir -- 137780en_US
dc.description.abstractWith today's developing technology, people's access to information and its production have reached a very fast level. These generated and obtained information are instantly created, entered into data systems and updated. Sources of streaming data can be transformed into valuable analysis results when they are handled with targeted methods. In this study, a text data field is determined to perform analysis on instantaneous generated data and Twitter, the richest platform for instant text data, is used. Twitter instantly generates a variety of data in large quantities and it presents it as open source using an API. A machine learning framework Apache Spark's stream analysis environment is used to analyze these resources. Situation analysis was performed using Support Vector Machine, Decision Trees and Logistic Regression algorithms presented under this environment. The results are presented in tables. © 2018 IEEE.en_US
dc.identifier.doi10.1109/SIU.2018.8404540
dc.identifier.endpage4en_US
dc.identifier.isbn978-153861501-0
dc.identifier.scopus2-s2.0-85050812808en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404540
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9258
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectApache Sparken_US
dc.subjectMachine Learningen_US
dc.subjectSpark Streamingen_US
dc.subjectText Miningen_US
dc.subjectTwitteren_US
dc.titleStream text data analysis on twitter using apache spark streamingen_US
dc.title.alternativeApache spark streaming kullanilarak twitter üzerinde akan metin verisi analizien_US
dc.typeConference Objecten_US

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