| Summary: | 碩士 === 國立臺灣大學 === 政治學研究所 === 107 === Democracy index is the foundation of quantitative democracy research. How to build a democracy index which can objectively reflect the structure and feature of democracy data is the main question of this research. This paper will apply the concept of building democracy index by machine learning algorithm which is introduced by Gründler and Krieger. In their point of view, machine learning can avoid the problem of deriving an aggregation method subjectively. However, they do not apply the machine learning algorithm to the methodology of selecting priming data. Instead, they select extreme democracy and non-democracy country-year in other notable democracy index as their priming data, which may still cause the objective problem which they want to solve. In this paper, I will apply unsupervised learning algorithm to construct priming data, and apply the data into supervised learning algorithm to build a new democracy index which can subjectively summarize the democracy data.
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