| Issue |
SHS Web Conf.
Volume 50, 2018
The International Scientific and Practical Conference “Current Issues of Linguistics and Didactics: The Interdisciplinary Approach in Humanities and Social Sciences” (CILDIAH-2018)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/20185001023 | |
| Published online | 12 October 2018 | |
Towards Question on Linguistic Approach to Search Engine Optimization: Clustering, Collocation, Grams
1
Don State Technical University, Rostov-on-Don, Russia
2
Rostov State Transport University, Rostov-on-Don, Russia
* Corresponding author: oksanaakay@me.com
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 web-product 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 so-called 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 - sthe 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.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.