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Automatic classification of Lithuanian parliament bills

Author

Listed:
  • Aušra Mackutė-Varoneckienė
  • Ka Lok Man
  • Tomas Krilavičius

Abstract

Quantitative methods are becoming more and more important in political science. However, they are not applicable without computers and computer based systems. In this paper we apply natural language technologies, mainly text classification, to categorise bills of the Lithuanian parliament into the predefined groups for further use in voting analysis and in other text analytic tasks. As only the titles of bills were used, in general it can be claimed that the problem of short text classification, which is poorly explored in consideration with the Lithuanian language, is addressed in this study.

Suggested Citation

  • Aušra Mackutė-Varoneckienė & Ka Lok Man & Tomas Krilavičius, 2018. "Automatic classification of Lithuanian parliament bills," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 17(1/2), pages 129-139.
    • Handle: RePEc:ids:ijitma:v:17:y:2018:i:1/2:p:129-139
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