
Please use this identifier to cite or link to this item:
https://data.ufl.udn.vn/handle/UFL/1155
Title: | An Investigation Into Linguistic Features Of Search Engine Optimization Content In English On Business Websites |
Other Titles: | SVNCKH2023-019 |
Keywords: | search engine SEO SEO content linguistic features |
Issue Date: | 2023 |
Publisher: | Đại học Ngoại ngữ, Đại học Đà Nẵng |
Abstract: | With the rapid expansion of the Internet and its indispensability in every sphere of life, it is crucial for businesses to have an online presence, especially on search engines. Appearing on top Search Engine Result Pages (SERPs) brings opportunities to obtain more website access traffic and potential customers. Search Engine Optimization (SEO) is becoming a beneficial tool for businesses in order to accomplish these tasks. This study aims to investigate the linguistic features of SEO content in English that ranks on SERPs, particularly Google. The researcher utilized qualitative method for this study by adopting the model of the previous study “SEO Content Writing: A Linguistic Analysis” (Abaz Lushaku, 2022) to recognize, evaluate, and determine the morphological, syntactic, discursive level, and SEO metrics of SEO-friendly material. The corpus for this study was customized from 100 websites that ranked on the first Google SERP in March, 2023. The collected data was analyzed by StataMP and corpus analytical tools. Ultimately, key conclusions were presented in this paper along with guidelines for creating SEO-friendly content. |
URI: | https://data.ufl.udn.vn/handle/UFL/1155 |
Appears in Collections: | NCKH CỦA HỌC VIÊN/SINH VIÊN |
Files in This Item:
File | Description | Size | Format | |
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Ngôn ngữ - Nguyễn Thanh Trúc - 19CNATM02.pdf Restricted Access | 758.09 kB | Adobe PDF | ![]() Sign in to read |
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