Term-based Website Evaluation Applying Word Vectors and Readability Measures

Kiyoshi Nagata

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Paper

Term-based Website Evaluation Applying Word Vectors and Readability Measures

Topics: Computational Intelligence on the Web; Data Web Mining; Linked Data, Big Data and Applications in Companies; Web Information Filtering and Retrieval

In Proceedings of the 18th International Conference on Web Information Systems and Technologies WEBIST - Volume 1, 241-248, 2022 , Valletta, Malta

Author: Kiyoshi Nagata

Affiliation: Faculty of Business Administration, Daito Bunka University, Tokyo, Japan

Keyword(s): Website Evaluation, Similarity Measure, Word Vector, Readability Measures.

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.

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Paper citation in several formats:

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 - WEBIST; ISBN 978-989-758-613-2; ISSN 2184-3252, SciTePress, pages 241-248. DOI: 10.5220/0011383900003318

@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 - WEBIST},
year={2022},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011383900003318},
isbn={978-989-758-613-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST
TI - Term-based Website Evaluation Applying Word Vectors and Readability Measures
SN - 978-989-758-613-2
IS - 2184-3252
AU - Nagata, K.
PY - 2022
SP - 241
EP - 248
DO - 10.5220/0011383900003318
PB - SciTePress