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International Conference on Advanced Machine Learning Technologies and Applications

AMLTA 2018: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) pp 211–220Cite as

Text Mining Approach to Extract Associations Between Obesity and Arabic Herbal Plants

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

Abstract

Historical information on herbal medicines is underexploited and this is particularly true of the important resources of Arabic herbal medicines. Current research into Arabic medicinal plants as alternative medicine is limited and there is a lack of accurate translations and interpretations of herbal medicine texts. This research focuses on an investigation of Arabic herbal medicinal plants in relation to the problem of obesity. This paper demonstrates how text mining can help extract relevant concepts associated with Arabic herbal plants and obesity in order to discover associations between the herbal medicinal ingredients and obesity symptoms.

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Author information

Authors and Affiliations

  1. Staffordshire University, College Road, Stoke-on-Trent, ST4 2DE, UK

    Samar Anbarkhan, Clare Stanier & Bernadette Sharp

Authors
  1. Samar Anbarkhan
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  2. Clare Stanier
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  3. Bernadette Sharp
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Corresponding authors

Correspondence to Samar Anbarkhan , Clare Stanier or Bernadette Sharp .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information Sciences, Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Faculty of Computers and Information, Department of Computer Science and Engineering, Mansoura University, Dakahlia, Egypt

    Mohamed Elhoseny

  4. Arab Academy for Science, Technology and Maritime Transport (AASTMT), Dokki, Egypt

    Mohamed Mostafa

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Anbarkhan, S., Stanier, C., Sharp, B. (2018). Text Mining Approach to Extract Associations Between Obesity and Arabic Herbal Plants. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-74690-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

  • eBook Packages: EngineeringEngineering (R0)

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