ナガタ キヨシ
  永田 清   経営学部 経営学科   教授
■ 標題
  Term-based Website Evaluation Applying Word Vectors and Readability Measures
■ 概要
  Research on websites has been actively conducted both from academic and practical aspects,and sometime from three major categories such as web content mining, web structure mining, and web usage mining. In this paper, we mainly focus on term-based properties and propose a system that evaluates the appropriateness of link relationships in a given site taking those content and link structure properties into consideration. We also consider readability of text in each webpage by applying some of readability measures to evaluate the uniformity of them across all pages. We implement those systems in our previously developed multilingual support application, and some results by applying it to several websites are shown.
  単著   Proceedings of the 18th International Conference on Web Information Systems and Technologies   Scitepress   pp.241-248   2022/10


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