Identifying Questions Written in Thai from Social Media Group Communication

  • Chadchadaporn Pukkaew
  • Kanchana Kanchanasut
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


To encourage greater student participation and more efficient instruction, we propose a method for classifying text questions communicated through a social media channel used as an informal complement to academic coursework. Specifically, we implement a system that uses basic regular expressions (BRE) to extract and organize Thai questions posted in class-related Facebook groups. Test data is used to identify the most effective identifiers and to evaluate the system as a whole, in a practical academic context.


Thai question classification Pattern matching Regular expression Text classification Information retrieval and filtering Facebook group 



The author wishes to acknowledge the Office of the Higher Education Commission, Thailand, for a support grant under the Strategic Scholarships for Frontier Research Network program for a Joint Ph.D. Program; and Rajamangala University of Technology Lanna for the partial support given to her during her study at the Asian Institute of Technology (AIT), Thailand. In addition, the author would like to express their greatest appreciation to Dr. Choochart Haruechaiyasak for his valuable suggestions during the planning as well as Professor Dr. Sumanta Guha for his valuable comments of this study.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Asian Institute of TechnologyKlong LuangThailand

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