Keyword Extraction for Search Engine Optimization Using Latent Semantic Analysis
نویسندگان
چکیده
It is now difficult to access desired information in the Internet world. Search engines are always trying overcome this difficulty. However, web pages that cannot reach their target audience search become popular. For reason, engine optimization done increase visibility engines. In process, a few keywords selected from textual content added page. A responsible person who knowledgeable about and required determine these words. Otherwise, an effective study be obtained. study, keyword extraction data with latent semantic analysis technique was performed. The models relations between documents/sentences terms text using linear algebra. According similarity values of resulting vector space, words best represent listed. This allows people without knowledge SEO process add complies criteria. Thus, method, both financial expenses reduced opportunity provided.
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ژورنال
عنوان ژورنال: Politeknik dergisi
سال: 2021
ISSN: ['1302-0900', '2147-9429']
DOI: https://doi.org/10.2339/politeknik.684377