감정분석의 시각화를 통한 셰익스피어 4대 비극작품 주요 등장인물의 막간 감정 추이와 감정 관계 연구
A Study of Emotional Changes across Acts and Emotion Relationship between Major Characters in Shakespeare’s Four Great Tragedies through Visualization of Sentiment Analysis
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The purpose of this study is to investigate emotional changes in an Act and across Acts and the emotion relationship between major characters in Shakespeare's four great tragedies through visualization of sentiment analysis using dialogue corpora, a VADER sentiment word-list, Python 3.5, and Netminer 4.4. We use both bar graphs and line charts as time visualization. The bar charts show how emotional changes between major characters are compared within an Act and across Acts in the normalized positive and negative sentiment valence sum. The line charts show who has emotional ups and downs throughout the whole play in the average sentiment valence. This study also attempts to visualize network structures connecting major characters and discuss sentiment intensity to tell us how much positive or negative sentiment there is in their detailed emotion relationship, representing relation visualization.
Abstract
The purpose of this study is to investigate emotional changes in an Act and across Acts and the emotion relationship between major characters in Shakespeare's four great tragedies through visualization of sentiment analysis using dialogue corpora, a VADER sentiment word-list, Python 3.5, and Netminer 4.4. We use both bar graphs and line charts as time visualization. The bar charts show how emotional changes between major characters are compared within an Act and across Acts in the normalized positive and negative sentiment valence sum. The line charts show who has emotional ups and downs throughout the whole play in the average sentiment valence. This study also attempts to visualize network structures connecting major characters and discuss sentiment intensity to tell us how much positive or negative sentiment there is in their detailed emotion relationship, representing relation visualization.
참고문헌 (26)
- 김종환, "글로스터의 인식 과정: 『리어왕』에 나타난 눈멂과 통찰", Shakespeare Review, 54(1), pp.5~26 (2018), 한국셰익스피어학회[DOI]
- 서혜진, "딥러닝을 이용한 셰익스피어 작품의 감정 분석", 영어학, 19(4), pp.817~836 (2019), 한국영어학회[DOI]
- 이경은, "대화 코퍼스를 활용한 셰익스피어 사랑 비극의 감정 분석과 네트워크 분석", 석사, pp.2018
- 장세은, "문학작품의 디지털인문학적 접근: 셰익스피어 비극 작품 중심으로 (Digital Humanities Approach to Literature Works: Focusing on Shakespeare’s Tragedies)", 새한영어영문학회 봄학술대회 발표논문 (a paper presented at the spring conference of the New Korean Association of English Language and Literature) (2019), 동아대학교 (Dong-A University)
- 장세은, "셰익스피어 비극 작품의 주요 등장인물 간의 대화 코퍼스 기반 감성분석 (Corpus-based Sentiment Analysis of Plays and Major Characters in Shakespeare’s Tragedies)", 한국언어정보학회 2차 월례발표회 발표논문 (a paper presented at the 2nd monthly presentation of the Korean Association of Language Information) (2018), 대우학술재단 (Daewoo Academic Foundation)
- 장세은, "문학작품에 나타난 감정분석: 셰익스피어 작품 중심으로 (Sentiment Analysis in Literature: Focusing on Shakespeare Works)", 제33차 한국사전학 전국학술대회 (a paper presented at the spring conference of the Korean Association for Lexicography) (2018), 고려대학교 (Korea University)
- 장세은, "대화 코퍼스를 통한 셰익스피어 비극이 주요 등장인물 간의 감정분석과 네트워크 분석(Sentiment and Network Analysis between Major Characters in Shakespeare’s Tragedies through Dialogue Corpus)", 한국언어과학회 겨울학술대회 발표논문 (a paper presented at the winter conference of the Korean Association of Language Sciences) (2019), 부산대학교 (Pusan National University)
- 장세은, "대화코퍼스를 통한 셰익스피어 비극 작품과 주요 남녀 등장인물 간의 감정분석", 언어과학, 26(1), pp.115~147 (2019), 한국언어과학회[DOI]
- 장세은, "텍스트 마이닝을 통한 셰익스피어 학술논문 영어초록 코퍼스의 토픽모델링 분석", 언어과학, 24(4), pp.55~82 (2017), 한국언어과학회
- Burdick, A., "Digital Humanities" (2012), MIT Press
- "Network Visualization: Mapping Shakespeare's Tragedies" (2015)[URL]
- 장세은, "Keywords and Key Clusters in Shakespeare’s Love Plays: Three Love Tragedies and Three Love Comedies", 언어과학, 25(3), pp.363~384 (2018), 한국언어과학회[DOI]
- Jhang, S. E., "Sentiment Analysis and Networks in Shakespeare’s Tragedy Plays", a paper presented at 2018 LSK (Linguistic Society of Korea) International Conference (2018), Kyung Hee University
- Hart, L., "The Linguistics of Sentiment Analysis", pp.2013
- Hussain, A., "Literature Review on Feature Identification in Sentiment Analysis", International Journal of Computer Applications, 132(3), pp.22~27 (2015)
- Hutto, C. J., "VADER : A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text", Eighth International Conference on Weblogs and Social Media (ICWSM-14) (2014)
- Lee, J., "Shakespeare’s Tragic Social Network; or Why All the World’s a Stage", Digital Humanities Quarterly, 11(2) (2017)
- "Opinion Observer: Analyzing and Comparing Opinions on the Web", WWW-05 Proceedings of the 14th International Conference on World Wide Web, pp.342~351 (2005)
- Modha, J. S., "Automatic Sentiment Analysis for Unstructured Data", International Journal of Advanced Research in Computer Science and Software Engineering, 3(12), pp.91~97 (2013)
- Nalisnick, E. T., "Automatic Methods for Tracking Sentiment Dynamics in Plays", pp.2013
- Nalisnick, E. T., "Extracting Sentiment Networks from Shakespeare's Plays", Document Analysis and Recognition (ICDAR), 2013 12th International Conference on IEEE, pp.758~762 (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)
- Nielsen, F. A., "A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs", Proceedings of the ESWC 2011 Workshop on ‘Making Sense of Microposts’: Big Things Come in Small Packages 718 in CEUR Workshop Proceedings, pp.93~98 (2011)
- Pang, B., "Opinion Mining and Sentiment Analysis", Foundations and Trends in Information Retrieval, 2(1-2), pp.1~135 (2008)
- Rieck, B., "Shall I Compare Thee to a Network? Visualizing the Topological Structure of Shakespeare's Plays", Digital Humanities at IEEE Vis 2016 (2016)
- "Quantifying Digital Humanities" (2011)[URL]