• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.623-626
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• 2005

본 논문에서는 효과적으로 문서를 정제할 수 있는 작업환경인 웹 기반의 정제 말뭉치 워크벤치 개발에 관하여 기술한다. 또한 정보검색의 효율성 향상, 전문용어의 자동추출, 전문용어가 쓰인 문맥의 파악 등을 위하여 정제된 문서에 포함된 과학기술 전문용어를 표시할 수 있게 하는 작업 환경도 구축하였다. 이렇게 개발된 정제 말뭉치 워크벤치와 전문용어 태깅 툴을 이용하여 과학기술과 관련된 신문 기사에서 한국어 전문용어를 태깅하고, 논문의 제목과 초록에서 한영 전문용어 쌍을 태깅하는 작업을 진행하였다.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.06a
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• pp.233-237
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• 2000

본 논문은 단락의 자동 구분을 통한 중요 문장 추출 시스템을 제안한다. 먼저 어휘의 재출현 여부와 어휘의 일치도, 어휘의 역할 변화를 파악하여 재출현 어휘에 대한 양상을 분석하고 이를 통하여 문장 간의 긴밀도를 정량적으로 계산한다. 다음으로 측정된 문장 간 긴밀도를 이용하여 사용자의 추출 범위에 따라 단락을 구분하고, 각 단락의 대표 문장을 선정하여 최종 요약문을 생성한다. 제안한 방법은 문서 제목, 문장의 위치, 수사 구조 등의 정보를 이용하지 않으며, 단순히 어휘의 출현 빈도만을 이용하던 기존의 통계적인 방법보다 질높은 요약문을 생성할 수 있다. 또한 제안한 방법론은 본 논문이 대상으로 삼고 있는 신문기사의 영역뿐만 아니라 다른 영역으로의 적용이 가능하다.

• Annual Conference on Human and Language Technology
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• 2010.10a
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• pp.179-182
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• 2010

트위터, 페이스북 등의 소설 네트워크가 이슈가 되는 사건에 의견을 표시하는 수단으로 많이 활용되고 있다. 본 논문에서는 이슈 키워드 추출 및 트위터와 유투브에 기반한 실시간 검색 시스템을 구현한다. 본 시스템에서는 가장 최근 신문 기사들의 제목과 스니핏을 이용하여 이슈가 되는 키워드를 실시간으로 추출하여 사용자들에게 보여주고 트위터와 유투브 OpenAPI를 이용하여 추출된 키워드에 대한 컨텐츠들을 실시간으로 사용자들에게 보여준다, 본 시스템을 통해서 이슈가 되는 사건에 대한 실시간 반응을 찾을 수 있다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1431-1438
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• 2014

We analyzed the articles from "Kukje Shinmun" and "Busan Ilbo", which are two local newpapers of Busan Metropolitan City. The articles cover from January 1, 2013 to December 31, 2013. Meaningful pattern inherent in 2889 articles of which the title includes "Busan" and "Traffic" and related data was analyzed. Textmining method, which is a part of datamining, was used for the social network analysis (SNA). HDFS and MapReduce (from Hadoop ecosystem), which is open-source framework based on JAVA, were used with Linux environment (Uubntu-12.04LTS) for the construction of unstructured data and the storage, process and the analysis of big data. We implemented new algorithm that shows better visualization compared with the default one from R package, by providing the color and thickness based on the weight from each node and line connecting the nodes.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.233-237
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• 2000

본 논문은 단락의 자동 구분을 통한 중요 문장 추출 시스템을 제안한다. 먼저 어휘의 재출현 여부와 어휘의 일치도, 어휘의 역할 변화를 파악하여 재출현 어휘에 대한 양상을 분석하고 이를 통하여 문장 간의 긴밀도를 정량적으로 계산한다. 다음으로 측정된 문장 간 긴밀도룰 이용하여 사용자의 추출 범위에 따라 단락을 구분하고, 각 단락의 대표 문장을 선정하여 최종문을 생성한다. 제안한 방법은 문서 제목, 문장의 위치, 수사 구조 등의 정보를 이용하지 않으며, 단순히 어휘의 출현 빈도만을 이용하던 기존의 통계적인 방법보다 질 높은 요약문을 생성할 수 있다. 또한 제안한 방법론은 본 논문이 대상으로 삼고 있는 신문기사의 영역뿐만 아니라 다른 영역으로의 적용이 가능하다.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.57-68
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• 2014

This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

• Cross-Cultural Studies
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• v.29
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• pp.341-366
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• 2012

'Headline Database of Newspaper Articles' is a database which contains about 141,500 newspaper articles from 1949 to March, 2009. They are collected from two perspectives; 'language' and 'language life' by KOKKEN. There were 3312 newspaper articles (about 2.34%) which included the word ONNA at 'Headline Database of Newspaper Articles'. The number of newspaper articles related to ONNA started to increase in 1975 but they decreased afterwards. They increased rapidly in 1980 and maintained the condition. However, they started to decrease rapidly in 1990 and maintained the decreased condition. They increased rapidly again in 2004 and 2007. The main causes of rapid increase were the commercial message of instant noodles "I am the one who is making. I am the one who is eating." in 1975, newspaper articles related to "Starting of full-scale studies on female language" in 1980, comments of "active women" and "men's crime" related to a murder case of an elementary school student in Sasebo City and mixed attendance books in 2004, a comment of "Women are machines which give birth to babies" in 2007. Those six causes of rapid increase suggested that the perception of gender such as 'Men need to work outside and Women need to do housework and take care of child' which was fixed until then was changing and becoming a stereotype of virtual reality rather than reality. The vocabulary related to ONNA appeared 3411 times among 3312 newspaper articles which included ONNA. Typical forms of the vocabulary related to ONNA were and . They appeared 2390 times and occupied 70% of the whole data. (3411 times) The form of ONNANOKO among the vocabulary related to ONNA appeared 113 times and occupied a high rate. ONNANOKO(113) and other words such as SHOJO(115), JOJI(28), YOJO(9) (152 in total) implied that appearing of young women at newspaper articles were increasing. Also, the vocabulary related to 'female language' such as ONNAKOTOBA(28) ONNANOKOTOBA(10) and a woman's heart such as ONNAGOKORO(35) and ONNANOKIMOCHI(34) appeared frequently. The vocabulary related to JOSEI were divided into <$JOSEI^{**}$> and <$^{**}JOSEI$>. <$JOSEI^{**}$> were mainly related to an occupation. <$^{**}JOSEI$> were mainly used to express women by regional groups such as or combined with modifiers to express women such as . In case with modifiers, WAKAIJOSEI appeared 35 times and showed the highest frequency. It had negative evaluations in many cases. The vocabulary related to JOSI appeared on the form of <$JOSI^{**}$> and mainly associated with 'a girl's school' and 'a female student'.

• Journal of Science Education
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• v.42 no.3
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• pp.371-389
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• 2018

This study focuses on the fact that students and teachers commonly have difficulty in 'selecting the topic' in many activities including student-led research that is conducted from topic selection to the drawing of conclusion. The purpose of this study is to develop a manual for science teaching research. The instructional manuals of 4 stages were developed based on practical knowledge that can be implemented in the actual class through previous research and literature. Each stage is composed of , , , and . In the third stage, students are expected to find scientific questions and develop them into research topics through detailed class research on newspaper articles, scientific magazines, traditional knowledge, proverbs, daily life, and textbook experiments. In the experimental group, the final research topic was selected through a variety of sources such as textbook experiments, proverbs, YouTube images, newspaper articles, individual WHY NOTEs, and understood the conditions of the scientific research topic and expressed the variables in the research title. However, in the control group, some students did not consider the research scope of the selected research subjects to be specific or not to be able to study at their level. As a result of giving the students as much autonomy as possible, many groups did not fully understand the previous research and submitted it. Based on the results of this study, it can be concluded that development and use of a 'topic selection stage' centered practice manual for general high school teachers would not only improve the students' abilities to discover solutions to scientific questions, but it will also help shift their attitudes towards science in a positive direction.