A comparison of text-classification techniques applied to Arabic text.

Many algorithms have been implemented for the problem of text classification. Most of the work in this area was carried out for English text. Very little research has been carried out on Arabic text. The nature of Arabic text is different than that of English text, and preprocessing of Arabic text i...

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Publicado en:Journal of the American Society for Information Science & Technology Vol. 60; no. 9; pp. 1836 - 1845
Autores principales: Kanaan G, Al-Shalabi R, Ghwanmeh S, Al-Ma'adeed H
Formato: algorithm equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell Sep2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2009
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      pub: Wiley-Blackwell
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        2010385967
        10.1002/asi.20832
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        atl: A comparison of text-classification techniques applied to Arabic text.
      aug:
        au:
          Kanaan G
          Al-Shalabi R
          Ghwanmeh S
          Al-Ma'adeed H
        affil: Arab Academy for Banking and Financial Services, Amman, Jordan
      sug:
        subj:
          Algorithms Utilization
          Arabs
          Classification Methods
          Language
          Natural Language Processing
          Human
      ab: Many algorithms have been implemented for the problem of text classification. Most of the work in this area was carried out for English text. Very little research has been carried out on Arabic text. The nature of Arabic text is different than that of English text, and preprocessing of Arabic text is more challenging. This paper presents an implementation of three automatic text-classification techniques for Arabic text. A corpus of 1445 Arabic text documents belonging to nine categories has been automatically classified using the kNN, Rocchio, and naïve Bayes algorithms. The research results reveal that Naïve Bayes was the best performer, followed by kNN and Rocchio.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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