Exploiting 5G Enabled Cognitive Radio Technology for Semantic Analysis in Social Networks

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dc.authoridBAYRAKDAR, Sümeyye/0000-0002-8148-1090en_US
dc.authorscopusid55212153700en_US
dc.authorscopusid15077642900en_US
dc.authorwosidBAYRAKDAR, Sümeyye/HJA-7001-2022en_US
dc.contributor.authorBayrakdar, Sumeyye
dc.contributor.authorYucedag, Ibrahim
dc.date.accessioned2024-08-23T16:07:05Z
dc.date.available2024-08-23T16:07:05Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractCognitive radio is an intelligent communication system that is aware of its environment and can dynamically adapt its operating parameters with the aim of providing an efficient use of the scarce spectrum. The main advantage of cognitive radio technology is its ability to adapt and cooperate with all other wireless technologies such as fifth generation technology, 5G. 5G enabled cognitive radio technology provides accelerated communication performance in accordance with spectrum efficiency and energy efficiency. 5G enabled cognitive radio proposes system interoperability and integration of communication system through cognition. Social networking is a common communication media among internet users connected by one or more relationships. Large numbers of internet users share their experiences and thoughts through social networking web sites. Semantic analysis is defined as the process of drawing meaning from text. In this paper, a fuzzy logic based semantic analysis is performed for the estimation of comment content in 5G enabled cognitive radio based social networks. In social networks, the positive comments posted by the users have the positive influence for the members to examine related comments. The comment content posted by the users is decided to be positive or negative with the help of fuzzy logic based semantic analysis approach. In this regard, the relevant interpretation can be positive or negative based on the input parameters in the fuzzy logic system. Our 5G enabled cognitive radio technology based semantic analysis approach with fuzzy logic system can be utilized in many social networks, taking superior accuracy results of 93% into account.en_US
dc.identifier.doi10.1007/s11277-023-10829-y
dc.identifier.endpage1598en_US
dc.identifier.issn0929-6212
dc.identifier.issn1572-834X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85182820977en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1585en_US
dc.identifier.urihttps://doi.org/10.1007/s11277-023-10829-y
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14486
dc.identifier.volume133en_US
dc.identifier.wosWOS:001152271800001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofWireless Personal Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCognitive radioen_US
dc.subjectFuzzy logicen_US
dc.subjectSemantic analysisen_US
dc.subjectSocial networken_US
dc.titleExploiting 5G Enabled Cognitive Radio Technology for Semantic Analysis in Social Networksen_US
dc.typeArticleen_US

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