Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis

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dc.authoridHorasan, Fahrettin/0000-0003-4554-9083
dc.contributor.authorHorasan, Fahrettin
dc.date.accessioned2025-01-21T16:34:17Z
dc.date.available2025-01-21T16:34:17Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIt is now difficult to access desired information in the Internet world. Search engines are always trying to overcome this difficulty. However, web pages that cannot reach their target audience in search engines cannot become popular. For this reason, search engine optimization is done to increase the visibility in search engines. In this process, a few keywords are selected from the textual content added to the web page. A responsible person who is knowledgeable about the content and search engine optimization is required to determine these words. Otherwise, an effective optimization study cannot be obtained. In this study, the keyword extraction from textual data with latent semantic analysis technique was performed. The latent semantic analysis technique models the relations between documents/sentences and terms in the text using linear algebra. According to the similarity values of the terms in the resulting vector space, the words that best represent the text are listed. This allows people without knowledge of the SEO process and content to add content that complies with the SEO criteria. Thus, with this method, both financial expenses are reduced and the opportunity to reach the target audience of web pages is provided.
dc.identifier.doi10.2339/politeknik.684377
dc.identifier.endpage479
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue2
dc.identifier.startpage473
dc.identifier.trdizinid424148
dc.identifier.urihttps://doi.org/10.2339/politeknik.684377
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay424148
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23936
dc.identifier.volume24
dc.identifier.wosWOS:000661468600013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherGazi Univ
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectSearch engine optimization; keyword extraction; latent semantic analysis; text mining
dc.titleKeyword Extraction for Search Engine Optimization Using Latent Semantic Analysis
dc.typeArticle

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