Keywords of Search Engine Optimization based on Corpus

Abstract

With the development of network, keywords have become an important way of retrieval, which is the window for academic papers to enter circulation and citation. Therefore, the selection of keywords is very important to improve the retrieval rate. Based on this, this paper carries out a corpus based search engine optimization keyword research. Based on one million English corpora, this paper analyzes and studies 3933 key words from the definition and function of keywords, the characteristics of keywords, selection methods, arrangement order, composition, quantity and writing format. It also analyzes the algorithm and ranking principle of search engine, discusses the optimization of website structure, keywords and single page, the punishment of search engine and the rescue method after being punished by search engine. According to the statistical research on the frequency of key words, the number of keywords is mainly 1-2 words, accounting for 90% of the total number. It can be seen that the search engine optimization technology used in the research of keyword optimization in the website can improve the website ranking and realize the value of the website.