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
Full Text URL :
Record number :
2601180
Link To Document :
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