Automatic Term Extraction on Turkish Scientific Texts

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dc.contributor.authorAygun I.
dc.contributor.authorKaya M.
dc.date.accessioned2024-07-22T08:06:57Z
dc.date.available2024-07-22T08:06:57Z
dc.date.issued2020
dc.description.abstractIn order for a text or collection to be understood, it is very important to understand the terms contained in it. In this study, it is aimed to detect terms in a domain-specific (Cyber Security) corpus. A two-layer method is suggested for the determination of the terms used in single words or phrases. Term candidate words are determined by statistical methods in the first layer. In the second layer, the possibility of using these words in phrases with semantic approaches is checked. In the study, Word2Vec approach was used to determine semantic affinity and 3 different datasets were used. The results show that the terms used in singular or binary patterns were successfully determined using the proposed method. © 2020 IEEE.
dc.identifier.DOI-ID10.1109/DASA51403.2020.9317125
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/13768
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectDecision support systems
dc.subjectNatural language processing systems
dc.subjectSecurity of data
dc.subjectSemantics
dc.subjectAutomatic term extraction
dc.subjectBinary patterns
dc.subjectCyber security
dc.subjectDomain specific
dc.subjectScientific texts
dc.subjectSemantic affinity
dc.subjectSemantic approach
dc.subjectTwo-layer methods
dc.subjectText processing
dc.titleAutomatic Term Extraction on Turkish Scientific Texts
dc.typeConference paper

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