Term-based Website Evaluation Applying Word Vectors and Readability Measures

Kiyoshi Nagata

2022

Abstract

Now the homepage is an important means of transmitting information not only in companies but also in any type of organization. However, it cannot be said that the page structure in the website is always in an appropriate state. 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.

Paper Citation

in Harvard Style

Nagata K. (2022). Term-based Website Evaluation Applying Word Vectors and Readability Measures. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 241-248. DOI: 10.5220/0011383900003318

in Bibtex Style

@conference{webist22,
author={Kiyoshi Nagata},
title={Term-based Website Evaluation Applying Word Vectors and Readability Measures},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011383900003318},
isbn={978-989-758-613-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Term-based Website Evaluation Applying Word Vectors and Readability Measures
SN - 978-989-758-613-2
AU - Nagata K.
PY - 2022
SP - 241
EP - 248
DO - 10.5220/0011383900003318