A Comparative Study of English Feminism and Korean Feminism with Text Mining Methods
- 주제어 (키워드) Feminism , 페미니즘 , English , Korean , Text Mining , Natural Language Processing , Twitter
- 발행기관 서강대학교 일반대학원
- 지도교수 조은경
- 발행년도 2023
- 학위수여년월 2023. 2
- 학위명 석사
- 학과 및 전공 일반대학원 글로벌한국학
- 실제 URI http://www.dcollection.net/handler/sogang/000000070149
- UCI I804:11029-000000070149
- 본문언어 영어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록 (요약문)
This paper analyzes and defines the relations and relevancy between ‘feminism’ and ‘페미니즘’ on Twitter with an intersectional feminist lens by focusing on the layers of commonalities and differences which people discover the connections of past and present and affect how social media is used. Text mining methods will display the use of the two proposed keywords on Twitter and their linguistic relations, or dissimilarities, to each other. The research question proposed is: What are the comparisons between the clues that show sentiment in tweets that hold the keywords ‘feminism’ in English and Korean? There are limited studies done questioning the two keywords on social media platforms, thus this essay’s inquiry will stress its significance. Examination of the data reveals that the Twitter keywords are used uniquely in tweets in relation to language and overall are assumed to be used in neutral tones. From an intersectional feminist lens, this study illustrates that Twitter was a platform that allowed users to relate their ideas on feminism.
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