Title of article
The performance of text similarity algorithms
Author/Authors
Prasetya,Didik Dwi Department of Electrical Engineering - State University of Malang, Indonesia , Wibawa , Aji Prasetya Department of Electrical Engineering - State University of Malang, Indonesia , Hirashima, Tsukasa Graduate School of Engineering - Hiroshima University, Japan
Pages
7
From page
63
To page
69
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.
Keywords
Text Mining , Knowledge-based , Corpus-based , String-based , Similarity measure
Journal title
International Journal of Advances in Intelligent Informatics
Serial Year
2018
Record number
2601180
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