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Thai Sentiment Resource Using Thai WordNet

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

Language corpus and resources are essential for text analytics research. For popular language such as English, the resources are publicly available. However, Thai resources are hardly found. This work proposes to construct Thai sentiment resource from English-Thai dictionaries, Thai WordNet and SenticNet. Unlike an existing previous work [1] in which one Thai term is limited to have only one set of sentic values, which is unrealistic. This new methodology proposes that one Thai term can have more than one sentic values based on its synsets. The proposed approach employs synset information from Thai WordNet and hence able to construct many sets of sentic values for Thai terms. The resulting Thai sentiment resource contains 28,780 terms comparing to 16,584 terms from the previous work. Thai terms and their associated synsets can be visually explored via web application.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Ponrudee Netisopakul & Kanlaya Thong-iad

Authors
  1. Ponrudee Netisopakul
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  2. Kanlaya Thong-iad
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Corresponding author

Correspondence to Kanlaya Thong-iad .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Netisopakul, P., Thong-iad, K. (2019). Thai Sentiment Resource Using Thai WordNet. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_29

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