The performance of text similarity algorithms

The performance of text similarity algorithms

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 i...

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Bibliographic Details
Main Authors: Didik Dwi Prasetya, Aji Prasetya Wibawa, Tsukasa Hirashima
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2018-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Similarity measure
String-based
Corpus-based
Knowledge-based
Text Mining
Online Access:http://ijain.org/index.php/IJAIN/article/view/152
Description
Summary: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.
ISSN:2442-6571
2548-3161

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