토픽 모델링을 활용한 북미의 퀘벡문학 연구동향 분석
Analysis of Quebec Literature Research Trends in North America Using Topic Modeling
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In this study, topic modeling technique, which is one of big data analysis techniques using artificial intelligence, was applied to the investigation of the research trends of Quebec literature in North America. The data collection was done through the Web of science, and 421 Quebec literature-related papers published in North America over the last 20 years were collected. The data consisted of the titles, abstracts, and keywords of these papers, and LDA, an algorithm for topic modeling was used to analyze the data. According to the Word Cloud result, it was found that the genres of ‘novel’ and ‘poetry’ were the most studied. As a result of the LDA analysis, eight topics were created, and the topics were : ‘Quebec identity and immigrant litterature’, ‘Short story and essay’, ‘Translation and various cultures’, ‘Quebec novels and authors’, ‘Contemporary Quebec theatre and drama’, ‘Poetry’, ‘History of Quebec literature’, and ‘Quebec women's literature’. The results of this study are significant in that they attempted to analyze a vast amount of literature research papers by applying big data analysis techniques based on artificial intelligence, and are expected to serve as a stepping stone for similar studies in the future.
Abstract
In this study, topic modeling technique, which is one of big data analysis techniques using artificial intelligence, was applied to the investigation of the research trends of Quebec literature in North America. The data collection was done through the Web of science, and 421 Quebec literature-related papers published in North America over the last 20 years were collected. The data consisted of the titles, abstracts, and keywords of these papers, and LDA, an algorithm for topic modeling was used to analyze the data. According to the Word Cloud result, it was found that the genres of ‘novel’ and ‘poetry’ were the most studied. As a result of the LDA analysis, eight topics were created, and the topics were : ‘Quebec identity and immigrant litterature’, ‘Short story and essay’, ‘Translation and various cultures’, ‘Quebec novels and authors’, ‘Contemporary Quebec theatre and drama’, ‘Poetry’, ‘History of Quebec literature’, and ‘Quebec women's literature’. The results of this study are significant in that they attempted to analyze a vast amount of literature research papers by applying big data analysis techniques based on artificial intelligence, and are expected to serve as a stepping stone for similar studies in the future.
참고문헌 (24)
- 김성애, "토픽모델링을 활용한 초·중등 인공지능 교육 관련 연구 동향 분석에 따른 기술교육의 방향과 과제", 한국기술교육학회지, 21(1), pp.106~124 (2021), 한국기술교육학회[DOI]
- 김영우, "쉽게 배우는 R 텍스트 마이닝" (2021), 이지스퍼블리싱
- 백영민, "R을 이용한 텍스트 마이닝" (2020), 한울 아카데미
- 백평구, "토픽모델링을 활용한 학술지 ‘여성연구’의 연구동향 탐색", 여성연구, 110(3), pp.159~194 (2021), 한국여성정책연구원[DOI]
- 황서이, "토픽모델링과 의미연결망분석을 활용한 한국 예술경영 연구의 동향 변화- 1988년부터 2017년까지 국내 학술논문 분석을 중심으로 -", 예술경영연구, (50), pp.5~31 (2019), 한국예술경영학회[DOI]
- Caron, Valérie, "‘Le bruit des choses vivante' and 'Tableaux': Manifestations of motherhood in Quebec literature", Voix et Images, 28(1), pp.126~141 (2002)
- Dahllöf, Berglund, "Faces, Fights, and Families: topic modeling and gendered themes in two corpora of swedish prose fiction", DHN 2019, 4th Digital Humanities in the Nordic Countries 2019, University of Copenhagen, 6(8), pp.92~111 (2019)
- Dupré, Louise, "Unfolding time: Memory and temporality in Denise Desautels' La 'Promeneuse et l'oiseau' and 'Ce fauve, le Bonheur'", Voix et Images, 26(2), pp.302~316 (2001)
- Erlin, Matt, "Topic modeling, epistemology, and the English and German novel", Journal of Cultural Analytics, 2(2), pp.1~29 (2017)
- Gaël Ndombi-Sow, "L’entrance des écrivains africains et caribéens dans le système littéraire francophone : les oeuvres d’Alain Mabanckou et de Dany Laferrière dans les champs littéraires français et québécois", pp.2012
- Inkel, Stéphane, "Memory of the Present. Double Debt and Shape of Future Politics in the Soifs Cycle", Voix et Images, 37(1), pp.87~98 (2011)
- Irland, Susan, "La maternité et la modernité dans les romans de Monique La Rue", Voix et Images, 28(2), pp.46~60 (2003)
- Navarro-Colorado, Borja, "On poetic topic modeling: extracting themes and motifs from a corpus of spanish poetry", Frontiers in Digital Humanities, 5(15), pp.1~12 (2018)
- Papillon, Joëlle, "Les lignes du désir de Chloé Savoie-Bernard et de Marilou Craft: féministe rabat-joie et de travail de la diversité dans la littérature québécoise", analyses Revue des littératures franco-canadiennes et québécoise, 14(1), pp.126~147 (2019)
- Schöch, Christof, "Topic modeling genre: an exploration of french classical and enlightenment drama", arXiv preprint arXiv, 11:2, 1~20 (2021)
- Sherstinova, Mitrofanova, "Topic modelling with NMF vs. expert topic annotation: the case study of Russian fiction", Mexican International Conference on Artificial Intelligence, pp.134~151 (2020)
- "American review of canadian studies"[URL]
- "@nalyses. Revue de critique et de théorie littéraire"[URL]
- "Études littéraires"[URL]
- "Canadian Encyclopedia"[URL]
- "French review"[URL]
- "Journal of canadian studies Revue d’études canadiennes"[URL]
- "Voix et Images"[URL]
- "Web of Science"[URL]