• 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