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Tsukasa Hirashima
Graduate School of Engineering, Hiroshima University
Computer Science & IT

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The performance of text similarity algorithms Didik Dwi Prasetya; Aji Prasetya Wibawa; Tsukasa Hirashima
International Journal of Advances in Intelligent Informatics Vol 4, No 1 (2018): March 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i1.152

Abstract

Text similarity measurement compares text with available references to indicate the degree of similarity between those objects. There have been many studies of text similarity and resulting in various approaches and algorithms. This paper investigates four majors text similarity measurements which include String-based, Corpus-based, Knowledge-based, and Hybrid similarities. The results of the investigation showed that the semantic similarity approach is more rational in finding substantial relationship between texts.
Co-Authors Aji Prasetya Wibawa Didik Dwi Prasetya