고려대학교

초록/요약

Recently, in the era of the “Fourth Industrial Revolution”, “artificial intelligence(AI)” and “big data” have created certain issues. In such scenario, research utilizing “data mining” has been attempted in the field of humanities as well. In the current research, attempts have been made to study “Japanese particles” utilizing the “text mining” technique that emerged as a new research method in the field of Japanese language studies. It would be prudent to try “the possibility of quantitative, quantitative, and statistical analysis” in this study of the Japanese particles. The analysis target was compared and contrasted with “X {sae(even) / mo(also)}”, focusing on the Japanese particle “X {made(until)}”. The analysis engine used “KH Coder” developed by HiGuchi(樋口); however, this tool can also analyze function words such as particles. Using the KH Coder, we were able to confirm the “frequent words” and “co-occurrence network”, “correspondence analysis” and “characteristic words” of “X {made / sae / mo}” syntax which are commonly not understood through the conventional research methods. We intend to use the text mining technique more as “objective” data to analyze “keyword” derivation and “visualization” by expanding the scope of access to Japanese postpositions.