DEVELOPMENT OF DATA CLASSIFICATION OF LOCAL HERBS IN BETONG, THAILAND

Authors

  • Kwanrutai SAELIM Faculty of Management Sciences, Yala Rajabhat University, Thailand
  • Suppamas RATTANAPIPAT Faculty of Management Sciences, Yala Rajabhat University, Thailand
  • Muhammad PU Faculty of Management Sciences, Yala Rajabhat University, Thailand
  • Amart SULONG Faculty of Management Sciences, Yala Rajabhat University, Thailand
  • Sothana VICHARUEANG Faculty of Science and Technology, Thammasat University, Thailand
  • Lakjaree SPHANURATTANA Faculty of Science and Technology, Thammasat University, Thailand

DOI:

https://doi.org/10.14456/aisr.2024.2

Keywords:

Natural Language Processing, Machine Learning, Data Classification, Keywords Extraction

Abstract

This research focuses on the development of an application named "Piyamit Herb," dedicated to preserving herbal information in the Thai language within Betong, Yala, Thailand. The primary objectives of the application are to digitize information previously conveyed verbally within the Piyamit Community in Betong, ensuring its accessibility to interested parties and the younger generation. The application also serves to systematically store this information, alleviating concerns about its potential loss over time. Additionally, it aims to foster a sense of ownership of local learning resources within the community. The Piyamit Community boasts a rich repository of indigenous herbs used in traditional medicine. Consequently, there is a need for classifying these local herbs to facilitate learning and usage. The development of the application incorporates ontology, a technology that facilitates the linking of lexical search and categorization of information. Furthermore, Natural Language Processing theory in the Thai language, text classification, and machine learning technologies are applied. As a result, Piyamit Herb has been successfully developed as a comprehensive system for storing and presenting data in Betong, Thailand. The application addresses the imperative to preserve information shared orally by local elders, ensuring the transmission of valuable knowledge passed down from their ancestors.

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Published

2024-01-24

How to Cite

SAELIM, K., RATTANAPIPAT, S., PU, M., SULONG, A., VICHARUEANG, S., & SPHANURATTANA, L. (2024). DEVELOPMENT OF DATA CLASSIFICATION OF LOCAL HERBS IN BETONG, THAILAND. Asian Interdisciplinary and Sustainability Review, 13(1), 12–23. https://doi.org/10.14456/aisr.2024.2

Issue

Vol. 13 No. 1 (2024): Asian Interdisciplinary and Sustainability Review

Section

Articles

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