Year 2021, Volume 24 , Issue 2, Pages 473 - 479 2021-06-01

Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis
Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis

Fahrettin HORASAN [1]


It 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.
It 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.
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Primary Language en
Subjects Engineering
Journal Section Research Article
Authors

Orcid: 0000-0003-4554-9083
Author: Fahrettin HORASAN (Primary Author)
Institution: Kırıkkale Üniversitesi Mühendislik Fakültesi
Country: Turkey


Dates

Application Date : February 4, 2020
Publication Date : June 1, 2021

Bibtex @research article { politeknik684377, journal = {Politeknik Dergisi}, issn = {}, eissn = {2147-9429}, address = {Gazi Üniversitesi Teknoloji Fakültesi 06500 Teknikokullar - ANKARA}, publisher = {Gazi University}, year = {2021}, volume = {24}, pages = {473 - 479}, doi = {10.2339/politeknik.684377}, title = {Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis}, key = {cite}, author = {Horasan, Fahrettin} }
APA Horasan, F . (2021). Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis . Politeknik Dergisi , 24 (2) , 473-479 . DOI: 10.2339/politeknik.684377
MLA Horasan, F . "Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis" . Politeknik Dergisi 24 (2021 ): 473-479 <https://dergipark.org.tr/en/pub/politeknik/issue/61515/684377>
Chicago Horasan, F . "Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis". Politeknik Dergisi 24 (2021 ): 473-479
RIS TY - JOUR T1 - Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis AU - Fahrettin Horasan Y1 - 2021 PY - 2021 N1 - doi: 10.2339/politeknik.684377 DO - 10.2339/politeknik.684377 T2 - Politeknik Dergisi JF - Journal JO - JOR SP - 473 EP - 479 VL - 24 IS - 2 SN - -2147-9429 M3 - doi: 10.2339/politeknik.684377 UR - https://doi.org/10.2339/politeknik.684377 Y2 - 2020 ER -
EndNote %0 Politeknik Dergisi Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis %A Fahrettin Horasan %T Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis %D 2021 %J Politeknik Dergisi %P -2147-9429 %V 24 %N 2 %R doi: 10.2339/politeknik.684377 %U 10.2339/politeknik.684377
ISNAD Horasan, Fahrettin . "Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis". Politeknik Dergisi 24 / 2 (June 2021): 473-479 . https://doi.org/10.2339/politeknik.684377
AMA Horasan F . Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis. Politeknik Dergisi. 2021; 24(2): 473-479.
Vancouver Horasan F . Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis. Politeknik Dergisi. 2021; 24(2): 473-479.
IEEE F. Horasan , "Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis", Politeknik Dergisi, vol. 24, no. 2, pp. 473-479, Jun. 2021, doi:10.2339/politeknik.684377