STREAM TEXT DATA ANALYSIS ON TWITTER USING APACHE SPARK STREAMING
| dc.authorid | OGUL, Iskender Ulgen/0000-0003-4882-5266 | |
| dc.contributor.author | Hakdagli, Ozlem | |
| dc.contributor.author | Ozcan, Caner | |
| dc.contributor.author | Ogul, Iskender Ulgen | |
| dc.date.accessioned | 2024-09-29T16:11:37Z | |
| dc.date.available | 2024-09-29T16:11:37Z | |
| dc.date.issued | 2018 | |
| dc.department | Karabük Üniversitesi | en_US |
| dc.description | 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY | en_US |
| dc.description.abstract | With 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. | en_US |
| dc.description.sponsorship | IEEE,Huawei,Aselsan,NETAS,IEEE Turkey Sect,IEEE Signal Proc Soc,IEEE Commun Soc,ViSRATEK,Adresgezgini,Rohde & Schwarz,Integrated Syst & Syst Design,Atilim Univ,Havelsan,Izmir Katip Celebi Univ | en_US |
| dc.identifier.isbn | 978-1-5386-1501-0 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14619/8576 | |
| dc.identifier.wos | WOS:000511448500393 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2018 26th Signal Processing and Communications Applications Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Apache Spark | en_US |
| dc.subject | Spark Streaming | en_US |
| dc.subject | en_US | |
| dc.subject | Machine Learning | en_US |
| dc.subject | Text Mining | en_US |
| dc.title | STREAM TEXT DATA ANALYSIS ON TWITTER USING APACHE SPARK STREAMING | en_US |
| dc.type | Conference Object | en_US |
