감정분석 시각화를 통한 소설과 영화의 비교: 모비딕 중심으로
A Comparison of a Novel and the Novel-Based Film through the Visualization of Sentiment Analysis: Focusing on Moby Dick
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초록
The purpose of this study is to compare the maritime novel ‘Moby Dick‘ with the novel based-film through the visualization of sentiment analysis using the VADER sentiment word-list. We use line charts as time visualization in the normalized positive and negative sentiment valence sum. The line charts show how the novel or its film has emotional ups and downs within each Act and across Acts in the accumulated sentiment valence. This study also re-examines the influence on Moby Dick that the Four Great Tragedies of Shakespeare such as Hamlet, Othello, King Lear, and Macbeth have had, which has long been discussed in the previous research, focusing on the comparison of the novel and its film to these tragedies. The results of this paper illustrate that the film can be distinctively compared with its original novel through time visualization of sentiment analysis within Acts and between Acts. It is also illustrated that the line chart of the novel ‘Moby Dick’ is similar to those of Othello and Hamlet, whereas the line chart of the film ‘Moby Dick’ released in 1998 is similar to those of King Lear and Macbeth. These results are expected to contribute to research and education of digital humanities and artificial intelligence for English literature as a solid case study, in the era of the 4th industrial revolution.
Abstract
The purpose of this study is to compare the maritime novel ‘Moby Dick‘ with the novel based-film through the visualization of sentiment analysis using the VADER sentiment word-list. We use line charts as time visualization in the normalized positive and negative sentiment valence sum. The line charts show how the novel or its film has emotional ups and downs within each Act and across Acts in the accumulated sentiment valence. This study also re-examines the influence on Moby Dick that the Four Great Tragedies of Shakespeare such as Hamlet, Othello, King Lear, and Macbeth have had, which has long been discussed in the previous research, focusing on the comparison of the novel and its film to these tragedies. The results of this paper illustrate that the film can be distinctively compared with its original novel through time visualization of sentiment analysis within Acts and between Acts. It is also illustrated that the line chart of the novel ‘Moby Dick’ is similar to those of Othello and Hamlet, whereas the line chart of the film ‘Moby Dick’ released in 1998 is similar to those of King Lear and Macbeth. These results are expected to contribute to research and education of digital humanities and artificial intelligence for English literature as a solid case study, in the era of the 4th industrial revolution.
참고문헌 (44)
- 강승식, "구어체 말뭉치의 어휘 사용 특징 분석 및 감정 어휘 사전의 자동 구축", 스마트미디어저널, 9(4), pp.144~151 (2020), (사)한국스마트미디어학회[DOI]
- 강우규, "고전소설에 대한 디지털 감정 분석방법론 탐색－<구운몽>을 대상으로－", 동아시아고대학, (56), pp.349~377 (2019), 동아시아고대학회[DOI]
- 구모경, "유현목 각색 영화에 나타난 이야기 정체성 고찰 - 원작소설의 영화적 전유를 중심으로 -", 겨레어문학, (58), pp.5~36 (2017), 겨레어문학회
- 구수경, "소설과 영화의 서사기법 비교 연구－ 이범선의 소설 <오발탄>과 유현목 감독의 영화 <오발탄>을 중심으로", 어문연구, 61, pp.293~315 (2009), 어문연구학회[DOI]
- 김낙현, "소설 <모비딕>의 5막 구분 및 영화 <1998년 모비딕>과 소설의 찹트 매칭", 한국해양대학교, ~ (2020)
- 김유영, "영화 리뷰 감성분석을 위한텍스트 마이닝 기반 감성 분류기 구축", 지능정보연구, 22(3), pp.71~89 (2016), 한국지능정보시스템학회[DOI]
- "소설 분석, googleLanguageR 소개" (2017)[URL]
- 남길임, "말뭉치언어학적 관점에서 본 감성표현 추출의 쟁점 - 사용자 리뷰 말뭉치를 중심으로-", 어문론총, (82), pp.207~236 (2019), 한국문학언어학회[DOI]
- 노시훈, "각색의 요인 연구-영화 <해저 2만 리>를 중심으로-", 인문학연구, (55), pp.141~162 (2018), 인문학연구원
- 문석형, "텍스트 마이닝 기법을 활용한 고전 추리 소설 작가 간 문체적 차이와 문체 구조에 대한 연구", 지능정보연구, 25(3), pp.89~115 (2019), 한국지능정보시스템학회
- 박호연, "CNN-LSTM 조합모델을 이용한 영화리뷰 감성분석", 지능정보연구, 25(4), pp.141~154 (2019), 한국지능정보시스템학회
- 방현석, "소설의 길 영화의 길" (2003), 실천문학사
- 서동훈, "소설의 영화 각색에 나타난 확장과 변형의 양상", 대중서사연구, (19), pp.255~280 (2008), 대중서사학회[DOI]
- 서혜진, "딥러닝을 이용한 셰익스피어 작품의 감정 분석", 영어학, 19(4), pp.817~836 (2019), 한국영어학회[DOI]
- 유은순, "영화 대사의 정량적 분석을 통한 등장인물의 감정과 서사간의 상관성 연구", 한국콘텐츠학회 논문지, 13(6), pp.95~107 (2013), 한국콘텐츠학회[DOI]
- 유희석, "『모비딕론』: 19세기 미국의 ‘국민문학’과 셰익스피어", 안과밖:영미문학연구, (21), pp.401~436 (2006), 영미문학연구회
- 이종숙, "분노, 복수, 복수 비극의 역사", 서양고전학연구, (45), pp.183~220 (2011), 한국서양고전학회
- 이경은, "대화 코퍼스를 활용한 셰익스피어 사랑 비극의 감정 분석과 네트워크 분석", 석사, pp.2018
- 이상훈, "영역별 맞춤형 감성사전 구축을 통한 영화리뷰 감성분석", 지능정보연구, 22(2), pp.97~113 (2016), 한국지능정보시스템학회
- 이향만, "허물기와 되쌓기의 미학: 이언 맥큐언의 『속죄』와 영화각색", 문학과 영상, 11(2), pp.541~559 (2010), 문학과영상학회
- 장세은, "감정분석의 시각화를 통한 셰익스피어 4대 비극작품 주요 등장인물의 막간 감정 추이와 감정 관계 연구", 언어과학, 27(2), pp.25~60 (2020), 한국언어과학회[DOI]
- 장세은, "대화코퍼스를 통한 셰익스피어 비극 작품과 주요 남녀 등장인물 간의 감정분석", 언어과학, 26(1), pp.115~147 (2019), 한국언어과학회[DOI]
- 최영미, "영화 <아가씨>의 각색에 따른 영화 흥행 요인 분석", 한국콘텐츠학회 논문지, 17(12), pp.417~425 (2017), 한국콘텐츠학회[DOI]
- 홍재범, "각색 방법론 정립을 위한 시론", 한국극예술연구, (36), pp.187~224 (2012), 한국극예술학회[DOI]
- Ahmed, E, "Challenges, Comparative Analysis and a Proposed Methodology to Predict Sentiment from Movie Reviews Using Machine Learning", International Conference on Big Data Analytics and Computational Intelligence, pp.86~91 (2017)
- Bao, B., "The Differences between Novels and Films – Enhance Literature Teaching by Using Films", US-China Education Review, 5(7), pp.58~61 (2008)
- "Very like a Whale: The influence of Hamlet on Moby-Dick" (2012)[URL]
- Dholpuria, T., "A Sentiment Analysis Approach through Deep Learning for a Movie Review", 8th International Conference on Communication Systems and Network Technologies, pp.173~181 (2018)
- Giannetti, L., "Understanding Movies" (2007), Pearson
- Heflin, W. L., "Herman Melville's Whaling Years" (2004), Vanderbilt University Press
- "Analyzing Plot Structure of Novels Using Sentiment Analysis" (2018)[URL]
- Khoo, C. S., "Lexicon-Based Sentiment Analysis: Comparative Evaluation of Six Sentiment Lexicons", Journal of Information Science, 44(4), pp.491~511 (2018)[DOI]
- Li, L., "How Textual Quality of Online Reviews Affect Classification Performance: A Case of Deep Learning Sentiment Analysis", Neural Computing & Applications, 32(9), pp.4387~4415 (2020)
- Liu, B., "Opinion Observer: Analyzing and Comparing Opinions on the Web", Proceedings of the 14th International Conference on World Wide Web, pp.342~351 (2005)
- McKee, R., "Story: Style, Structure, Substance, and the Principles of Screenwriting" (1997), Harper-Collins Publisher
- Nalisnick, E. T., "Automatic Methods for Tracking Sentiment Dynamics in Plays", 석사, pp.2013
- Nalisnick, E. T., "Character-to-Character Sentiment Analysis in Shakespeare's Plays", Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2, pp.479~483 (2013)
- Patel, P., "Sentiment Analysis on Moview Review Using Deep Learning RNN Method", Intelligent Data Engineering and Analytics, 155~163 (2021)
- Piryani, R., "Analytical Mapping of Opinion Mining and Sentiment Analysis Research During 2000-2015", Information Processing & Management, 53(1) (2017)[DOI]
- Reagan, A., "Towards a Science of Human Stories: Using Sentiment Analysis and Emotional Arcs to Understand the Building Blocks of Complex Social Systems", 박사, pp.2017
- Rice, J. C., "Moby-Dick and Shakespearean Tragedy", The Centennial Review, 14(4), pp.444~468 (1970)
- Sajeevan, A., "An Enhanced Approach for Movie Review Analysis Using Deep Learning Techniques", International Conference on Communication and Electronics Systems, pp.1788~1794 (2019)
- Sharmin, S., "Shakespearean Influence on Moby-Dick", Stamford Journal of English, 4, pp.142~153 (2013)
- Smith, M. L., "The Dynamic Encounter: Shakespearean Influence on Structure and Language in Moby-Dick", 박사, pp.1981