텍스트마이닝 기법을 활용한 일본 미디어의 한국 뉴스의 감정 추이에 대한 분석 -파이썬을 활용한 단어감정극성대응표 분석기법의 수행을 통해-

다국어 초록 (Multilingual Abstract)

In the era of big data, it is no longer possible to effectively collect, refine, and perform meaningful interpretations of necessary information only by methods such as conventional manual and intuitive insight. Therefore, in this paper, we built a large-scale text data independently and performed the text mining analysis based on the recognition that the text mining technique needs to be used in the field of Japanese studies as well, and that the verification of the practical technique itself is also necessary.
As a result, it was confirmed that an analysis of semantic orientations of the text using ‘the Semantic Orientations of Words’ is effective for the analysis of the ‘emotion’ of the text. Besides, it has been confirmed that Japanese media’s ‘semantic orientations’ toward Korea has been deteriorating over the past decade. Above all, it was also confirmed that semantic orientations of Japanese media news articles about Korea were actively reflected in the issue of Korea-Japan relations.

목차 (Table of Contents)

• 〈Abstract〉
• 1. 들어가며
• 2. 선행연구
• 3. 연구방법
• 4. 연구 결과
• 5. 맺음말
• 【참고문헌】
• 〈要旨〉

참고문헌 (Reference)

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