| Summary: | 碩士 === 國立中央大學 === 資訊管理學系 === 104 === Recent trends have been influenced by the progression of text mining so researches on unstructured data mining increase rapidly. There are many literatures on using text-mining techniques for politics but studies of rhetoric of leaders are still analyzed textual materials via reading by human. This paper attempts to apply text-mining techniques to research of rhetoric of the former president Ma Ying-jeou and find the relationships between rhetoric and policy, staffing assignments or attitude toward important historical events.
In this paper, a new research method to analyze and reveal hidden ideology and decision-making process behind rhetoric of the president is developed. We present here an original work that employs Word2Vec, N-gram and t-distributed stochastic neighbor embedding (t-SNE) to assist rhetoric analysis.
The results show that mining each document sorted by date on rhetoric of the president, observing variations in data calculated by text mining techniques, and then investigating the reasons why data alter on the time can find out the association between rhetoric and policy, staffing assignments or attitude toward important historical events.
Furthermore, we disclosure the mastermind behind the scenes of regional economic integration policy was Daniel Liu（劉大年）in the period from October 2013 to May 2016, Ma Ying-jeou tried hard to make his historical role as a man bringing Cross-strait peace and the attitude of the Ma administration was perfunctory toward February 28 Incident after February 2015.
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