Word2Vec을 이용한 한국 대통령 연설문 네트워크 분석

초록

In this paper, using a total of 6,870 presidential speeches from 1948 to 2015, we show the char- acteristics in the words and analyze the Korean presidential styles. Firstly, we determine how well the distribution of the usage frequency of each word in the speeches follows Zipf's law. The distri- bution exhibits three slopes that have differen properties. Next, by using the distribution data, we compare the trends of the words in the speeches to the actual historical events in Korean politics. Finally, we construct a network among words by using Word2Vec with an artificial neural network and machine learning, and we compare the network to presidential features and the timely change of politics in Korea.

키워드