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  • 标题:Towards Question on Linguistic Approach to Search Engine Optimization: Clustering, Collocation, Grams
  • 本地全文:下载
  • 作者:Oksana Akay ; Anna Kalashnikova ; Igor Kalashnikov
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2018
  • 卷号:50
  • 页码:1-5
  • DOI:10.1051/shsconf/20185001023
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The article is devoted to the problem of search engine optimization in the context of nowadays reality. Linguistics can become one of the main instruments to improve its marketing position of the webproduct so the linguistic approach to the search engine optimization acts as the modern and effective mechanism. The task of search engine optimization is to achieve the most effective promotion of the site in the search engines while preserving the most possible naturalness of the text. Now the topic of the socalled over-optimized texts is becoming especially urgent. One of the ways of the search engine optimization of a site can be clustering as an automatic search and detection of semantically similar groups of files among a predetermined number of files. Also the method of collocations is an extremely topical linguistic method for solving problems of search optimization. Philological science also offers the developers a method close to the method of collocations - the gram-method. The linguistic approach to search engine optimization obviously allows us not only to increase the effectiveness of SEO in terms of the results obtained, but also to facilitate and accelerate the development processes and ultimately the business processes.
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