신문 기사 속의 직업명사와 관련어
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In this paper, we have examined the aspects of occupation nouns and related words in news articles. Our investigation is based on the [Trends 21] Corpus (Kim et al., 2010; Kang & Kim, 2011), which is a morphologically annotated 400 million word corpus of Koreans newspaper texts. It is a collection of Korean newspaper texts covering most of the topics in print. The corpus is composed of four major Korean national newspapers issued from the year 2000 to 2009. We adopt a network analysis using co-occurring words with target words, i.e., occupation nouns. The extraction of co-occurring words is based on the statistical information (t-score) about the co-occurrences of words. The co-occurring words are regarded as not only semantically related but also mentally related to target words; thus we call the co-occurring words in a given context related words. A network is a graph-based structure made up of nodes and links. We adopt co-occurrence network analysis, which views lexical relationships in terms of nodes (representing individual words within the network) and connections or links (which represent relationships between the words). Pajek (Nooy, Mrvar & Vladimir, 2005) is used to visualize the relationship between the occupation nouns and their related terms. In addition, we have identified peoples‘ interest in social, cultural and economic issues that are portrayed in Korean newspaper articles.
Abstract
In this paper, we have examined the aspects of occupation nouns and related words in news articles. Our investigation is based on the [Trends 21] Corpus (Kim et al., 2010; Kang & Kim, 2011), which is a morphologically annotated 400 million word corpus of Koreans newspaper texts. It is a collection of Korean newspaper texts covering most of the topics in print. The corpus is composed of four major Korean national newspapers issued from the year 2000 to 2009. We adopt a network analysis using co-occurring words with target words, i.e., occupation nouns. The extraction of co-occurring words is based on the statistical information (t-score) about the co-occurrences of words. The co-occurring words are regarded as not only semantically related but also mentally related to target words; thus we call the co-occurring words in a given context related words. A network is a graph-based structure made up of nodes and links. We adopt co-occurrence network analysis, which views lexical relationships in terms of nodes (representing individual words within the network) and connections or links (which represent relationships between the words). Pajek (Nooy, Mrvar & Vladimir, 2005) is used to visualize the relationship between the occupation nouns and their related terms. In addition, we have identified peoples‘ interest in social, cultural and economic issues that are portrayed in Korean newspaper articles.
참고문헌 (52)
- 강범모, "공기 명사에 기초한 의미", 개념 연관성의 네트워크 구성, 2010, pp.32, 1~28[DOI]
- 강범모, "언어, 컴퓨터, 코퍼스언어학 (개정판)" (2011), 고려대학교 출판부
- "언어학", 2011, 3~38, pp.사단법인 한국언어학회
- 고길곤, "정책네트워크 연구의 유용성과 사회연결망 이론 활용 방법의 고찰", 행정논총, 45(1), pp.138~164 (2007), 한국행정연구소
- "한국어 학습용 어휘 목록" (2003), 국립국어연구원[URL]
- "표준국어대사전" (2011), 국립국어연구원[URL]
- 김용학, "사회 연결망 분석" (2007), 박영사
- 김동규, "직업사회학" (2004), 건기원
- 김병숙, "한국인의 직업의식 조사" (1998), 한국직업능력개발원
- 김흥규, "사업 제1차 보고서" (2010), 고려대학교 출판부
- 문승태, "사회변화와 직업세계" (2005), 태영출판사
- 바라바시, "링크" (2002), 동아시아
- 신문 사회면 비교 분석 - 뉴욕타임스, 요미우리신문, 조선일보를 중심으로, "박성희", 미디어연구소, ~ (2004)
- 박한우, "한국어의 내용분석을 위한 KrKwic 프로그램의 이해와 적용 : Daum.net에서 제공된 지역혁신에 관한 뉴스를 대상으로", Journal of The Korean Data Analysis Society, 6(5), pp.1377~1387 (2004), 한국자료분석학회
- 서술적 보도와 해석적 보도: 신문 정치면 비교 분석 - 뉴욕타임스, 요미우리신문, 조선일보를 중심으로, "손태규", 미디어연구소, ~ (2004)
- 유홍준, "현대사회와 직업" (2005), 그린
- 이근희, "산업인력의 근로의욕 실태조사" (1995), 한국생산성본부
- 신문 경제 섹션 비교 분석 - 뉴욕타임스, 요미우리신문, 조선일보를 중심으로, "이진우", 미디어연구소, ~ (2004)
- 정유진, "친족명사의 공기어 양상과 네트워크 분석", 언어학, 19(2), pp.209~235 (2011), 대한언어학회
- 장홍근, "한국인의 직업의식과 직업윤리" (2006), 한국직업능력개발원
- 통계청, "한국표준직업분류" (2010), 행법사
- 산업인력의 근로의욕 실태조사, "한국생산성본부", ~ (1995)
- Bhattacharya, S., "Mapping a research area at the micro level using co-word analysis", Scientometrics, 43(3), pp.359~372 (1998)
- Bonacich, P., "Power and centrality: A family of measures", American Journal of Sociology, 92, pp.1170~1182 (1987)
- Callon, M, "Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry", Scientometrics, 22(1), pp.155~205 (1991)
- Charles, G, "Contexts of antonymous adjectives", Applied Psycholinguistics, 10, pp.357~375 (1989)
- Cruse, D. A., "Meaning in language" (2000), Oxford University Press
- Copestake, A., "Semi-productive polysemous and sense extension", Journal of Semantics, 12, pp.15~67 (1995)
- Doerfel, M. L, "Semantic networks and competition: Election year winners and losers in U.S. televised presidential debates, 1960-2004", Journal of the American Society for Information Science and Technology, 60(1), pp.201~218 (2009)
- Danowski, J. A., "Network analysis of message content, In Progress in communication sciences XII", pp.197~222 (1993), Ablex
- Ferrer, R, "The small-world of human language", Proceedings of the Royal Society of London (Series B 272), pp.561~565 (2001)
- Ferrer, R., "Patterns in syntactic dependency network", Physical Review, 69, pp.51915~ (2004)
- Firth, J. R, "Papers in linguistics" (1957), Oxford University Press
- Granovetter, M. S, "The strength of weak ties", American Journal of Sociology, 78(4), pp.1360~1380 (1973)
- Granovetter, M. S., "The strength of weak ties: A network theory revisited, In Social structure and network analysis", pp.201~233 (1983), Lin Berverly Hills
- Handelman, S. A., "Fragments of the rock: Contemporary literary theory and the study of Rabbinic texts - a response to David Stern", Prooftexts, 5, pp.75~95 (1985)
- Jonassen, D. H, "Structural knowledge: Techniques for conveying, assessing, and acquiring structural knowledge" (1993), Lawrence Erlbaum
- Justeson, J., "Co-occurrences of antonymous adjectives and their contexts", Computational Linguistics, 17(1), pp.1~19 (1990)
- Kilgarriff, A., "I don’t believe in word senses", Computers and the Humanities, 31(2), pp.91~113 (1997)
- Leech, G. N, "Semantics: The study of meaning" (1974), Penguin
- Lyons, J. F, "Semantics 1" (1977), Cambridge University Press
- Lyons, J. F, "Linguistic semantics: An introduction" (1995), Cambridge University Press
- Michel, J., "Quantitative analysis of culture using millions of digitized books", Science, 331, pp.176~182 (2010)
- Mitchell, J. C., "Social networks in urban situation" (1969), Manchester University Press
- Nooy, W. D, "Exploratory social network analysis with Pajek" (2010), Cambridge University Press
- Ostler, N., "Predictable meaning shift: Some linguistic properties of lexical implication rules, In Lexical semantics and knowledge representation", pp.87~100 (1991), Springer
- "Pajek program"[URL]
- Rothman, R. A, "Working: Sociological perspectives (2nd ed.)" (1998), Prentice Hall
- Rice, R. E, "Is it really just like a fancy answering machine? Comparing semantic networks of different types of voice mail users", Journal of Business Communication, 30(4), pp.369~397 (1993)
- Scott, J. P, "Social network analysis: A handbook" (2000), Sage Publications Ltd
- Spence, D. P, "Lexical co-occurrence and association strength", Journal of Psycholinguistic Research, 19(5), pp.317~330 (1990)
- Wasserman, S., "Social network analysis: Methods and applications" (1994), Cambridge University Press