Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique

Jantima Polpinij; Poramin Bheganan; Bancha Luaphol; Chumsak Sibunruang; Khanista Namee

doi:10.1007/978-3-030-44044-2_2

Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique

Jantima Polpinij
, Poramin Bheganan
, Bancha Luaphol
, Chumsak Sibunruang
, Khanista Namee

Science Division

Mahasarakham University
Kalasin University
King Mongkut's University of Technology North Bangkok

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A Thai civil case decision document is typically presented in a semi-structured form. Generally, Thai civil case decision documents consist of four major components comprising the dispute, facts, decision, and judgment. To perform text summarization or information extraction on this document, the first process should recognize major components in the Thai civil case decision document. This has not been addressed previously and becomes the challenge for our study that aims to present a method of identifying the four major components utilizing the text classification technique. We employed two weighting schemes and three supervised machine learning algorithms and downloaded the dataset from the Supreme Court of Thailand website (http://www.supremecourt.or.th). After testing by recall, precision, and F1 satisfactory results were achieved for identifying major components in Thai civil case decision documents at 0.83, 0.80 and 0.81, respectively.

Original language	English
Title of host publication	Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020
Editors	Phayung Meesad, Sunantha Sodsee
Publisher	Springer
Pages	11-20
Number of pages	10
ISBN (Print)	9783030440435
DOIs	https://doi.org/10.1007/978-3-030-44044-2_2
Publication status	Published - 2020
Event	16th International Conference on Computing and Information Technology, IC2IT 2020 - Pattaya, Thailand Duration: 14 May 2020 → 15 May 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1149 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	16th International Conference on Computing and Information Technology, IC2IT 2020
Country/Territory	Thailand
City	Pattaya
Period	14/05/20 → 15/05/20

Keywords

Decision components
Text classification
Thai civil case decision document

Access to Document

10.1007/978-3-030-44044-2_2

Cite this

Polpinij, J., Bheganan, P., Luaphol, B., Sibunruang, C., & Namee, K. (2020). Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique. In P. Meesad, & S. Sodsee (Eds.), Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020 (pp. 11-20). (Advances in Intelligent Systems and Computing; Vol. 1149 AISC). Springer. https://doi.org/10.1007/978-3-030-44044-2_2

Polpinij, Jantima ; Bheganan, Poramin ; Luaphol, Bancha et al. / Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique. Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020. editor / Phayung Meesad ; Sunantha Sodsee. Springer, 2020. pp. 11-20 (Advances in Intelligent Systems and Computing).

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title = "Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique",

abstract = "A Thai civil case decision document is typically presented in a semi-structured form. Generally, Thai civil case decision documents consist of four major components comprising the dispute, facts, decision, and judgment. To perform text summarization or information extraction on this document, the first process should recognize major components in the Thai civil case decision document. This has not been addressed previously and becomes the challenge for our study that aims to present a method of identifying the four major components utilizing the text classification technique. We employed two weighting schemes and three supervised machine learning algorithms and downloaded the dataset from the Supreme Court of Thailand website (http://www.supremecourt.or.th). After testing by recall, precision, and F1 satisfactory results were achieved for identifying major components in Thai civil case decision documents at 0.83, 0.80 and 0.81, respectively.",

keywords = "Decision components, Text classification, Thai civil case decision document",

author = "Jantima Polpinij and Poramin Bheganan and Bancha Luaphol and Chumsak Sibunruang and Khanista Namee",

note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th International Conference on Computing and Information Technology, IC2IT 2020 ; Conference date: 14-05-2020 Through 15-05-2020",

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Polpinij, J, Bheganan, P, Luaphol, B, Sibunruang, C & Namee, K 2020, Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique. in P Meesad & S Sodsee (eds), Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020. Advances in Intelligent Systems and Computing, vol. 1149 AISC, Springer, pp. 11-20, 16th International Conference on Computing and Information Technology, IC2IT 2020, Pattaya, Thailand, 14/05/20. https://doi.org/10.1007/978-3-030-44044-2_2

Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique. / Polpinij, Jantima; Bheganan, Poramin; Luaphol, Bancha et al.
Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020. ed. / Phayung Meesad; Sunantha Sodsee. Springer, 2020. p. 11-20 (Advances in Intelligent Systems and Computing; Vol. 1149 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique

AU - Polpinij, Jantima

AU - Bheganan, Poramin

AU - Luaphol, Bancha

AU - Sibunruang, Chumsak

AU - Namee, Khanista

PY - 2020

Y1 - 2020

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AB - A Thai civil case decision document is typically presented in a semi-structured form. Generally, Thai civil case decision documents consist of four major components comprising the dispute, facts, decision, and judgment. To perform text summarization or information extraction on this document, the first process should recognize major components in the Thai civil case decision document. This has not been addressed previously and becomes the challenge for our study that aims to present a method of identifying the four major components utilizing the text classification technique. We employed two weighting schemes and three supervised machine learning algorithms and downloaded the dataset from the Supreme Court of Thailand website (http://www.supremecourt.or.th). After testing by recall, precision, and F1 satisfactory results were achieved for identifying major components in Thai civil case decision documents at 0.83, 0.80 and 0.81, respectively.

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Polpinij J, Bheganan P, Luaphol B, Sibunruang C, Namee K. Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique. In Meesad P, Sodsee S, editors, Recent Advances in Information and Communication Technology 2020 - Proceedings of the 16th International Conference on Computing and Information Technology, IC2IT 2020. Springer. 2020. p. 11-20. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-44044-2_2