A study on the change of the semantic domain of emotional words through analysis of historical corpus

Lee MinWoo

doi:10.19033/sks.2020.12.70.69

This study attempted to capture changes in language use by using statistical methodology that enables detailed and accurate observation of language phenomena hidden in large corpus. To this end, eight contexts of emotion words were extracted from corpus of early 20C and late 20C and corpus analysis was performed. In this study, the method used to grasp the change of language semantic use is to analyze the language semantic information by substituting a vector space having size and direction. By using the statistical weight(TF-IDF), semantic distance measurement using cosine similarity, and density, the corpus was compared to understand the change pattern. At this time, we examined how the semantic change is made concretely by analyzing and comparing the categories and networks that are formed by the relationship of contexts rather than isolated units. As a result of the study, it was possible to capture general meaning changes such as widening and narrowing of meanings in terms of emotional words, and pejorative and ameliorative of meanings.(Cyber Hankuk University of Foreign Studies)

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REFERENCES (33)
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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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이 논문은 한국연구재단의 지원을 받아 작성되었습니다.

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