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

Anbarkhan, Samar, STANIER, Clare and SHARP, Bernadette (2018) Text Mining Approach to Extract Associations Between Obesity and Arabic Herbal Plants. The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 723. pp. 211-220. ISSN 2194-5357

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Abstract or description

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.

Item Type: Article
Faculty: School of Computing and Digital Technologies > Computing
Depositing User: Library STORE team
Date Deposited: 18 Apr 2018 14:18
Last Modified: 24 Feb 2023 13:50

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