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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)

Abstract

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.

Keywords

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

Notes

Acknowledgments

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.

References

  1. 1.
    Nguyen T (2008) Thailand: cultural background for ESL/EFL teachers. [online] Available at: http://www.hmongstudies.org/ThaiCulture.pdf. Accessed 25 October 2012
  2. 2.
    Pagram P, Pagram J (2006) Issue in e-learning: a Thai case study. Electron J Inf Syst Dev Ctries 26(6):1–8Google Scholar
  3. 3.
    Green T, Bailey B (2010) Academic uses of facebook: endless possibilities or endless perils? J TechTrends 54(3):20–22CrossRefGoogle Scholar
  4. 4.
    Hew KF (2011) Students’ and teachers’ use of facebook. Comput Hum Behav 27(2):662–676CrossRefGoogle Scholar
  5. 5.
    Cheung CMK, Chiu P, Lee MKO (2011) Online social networks: why do students use facebook? Comput Hum Behav 27(4):1337–1343CrossRefGoogle Scholar
  6. 6.
    Socialbakers (2013) Check facebook. [online] Available at: http://www.checkfacebook.com/. Accessed 19 May 2013
  7. 7.
    Hacioglu K, Ward W (2003) Question classification with support vector machines and error correcting codes. In: Proceedings of the 2003 conference of the North American chapter of the association for computational linguistics on human language technology: companion volume of the proceedings of HLT-NAACL 2003–short papers, vol 2. Canada, pp 28–30Google Scholar
  8. 8.
    Harabagiu SM, Maiorano SJ, Paşca MA (2003) Open-domain textual question answering techniques. Nat Lang Eng 9(3):231–267CrossRefGoogle Scholar
  9. 9.
    Li X, Roth D (2002) Learning question classifiers. In: Proceeding of the 19th international conference on computational linguistics, vol 1. Stroudsburg, PA, USA: Association for Computational Linguistics, pp 1–7Google Scholar
  10. 10.
    Moschitti A (2003) Answer filtering via text categorization in question answering systems. In: Proceeding of the 15th IEEE international conference on tools with artificial intelligence, IEEE, pp 241–248Google Scholar
  11. 11.
    Saquete E, Martınez-Barco P, Munoz R, Vicedo JL (2004). Splitting complex temporal questions for question answering systems. In: The 42nd annual meeting on association for computational linguistics, Association for computational linguistics, pp 566–574Google Scholar
  12. 12.
    Suzuki J, Taira H, Sasaki Y, Maeda E (2003) Question classification using HDAG kernel. In: Proceedings of the ACL 2003 workshop on multilingual summarization and question answering, July 11, 2003, Sapporo, Japan, pp 61–68Google Scholar
  13. 13.
    Jitkrittum W, Haruechaiyasak C, Theeramunkong T (2009) QAST: question answering system for ThaiWikipedia. In: Proceeding of the 2009 workshop on knowledge and reasoning for answering questions, ACL-IJCNLP 2009, pp 11–14Google Scholar
  14. 14.
    Kongthon A, Kongyoung S, Haruechaiyasak C, Palingoon P (2011) A semantic based question answering system for Thailand tourism information. In: Proceeding of the KRAQ11 workshop, pp 38–42Google Scholar
  15. 15.
    Suktarachan M, Rattanamanee P, Kawtrakul A (2009). The development of a question-answering services system for the farmer through SMS: query analysis. In: Proceeding of the 2009 workshop on knowledge and reasoning for answering questions, ACL-IJCNPL 2009, pp 3–10Google Scholar
  16. 16.
    Cox R (2007) Regular expression matching can be simple and fast. [online] Available at: http://swtch.com/~rsc/regexp/regexp1.html. Accessed 30 April 2012
  17. 17.
    The IEEE and the Open Group (2004). Chapter 9 regular expressions. [online] Available at: http://pubs.opengroup.org/onlinepubs/009695399/basedefs/xbd_chap09.html. Accessed 30 April 2012
  18. 18.
    Thompson K (1968) Programming techniques: regular expression search algorithm. Commun ACM 11(6):419–422CrossRefMATHGoogle Scholar
  19. 19.
    Arpavate W, Cheevasart S, Dejasvanong C (2011) Communication Behavior on facebook of students at Rajamangala University of Technology Phra NaKhon. Rajamangala University of Technology Phra NaKhon, BangkokGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Asian Institute of TechnologyKlong LuangThailand

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