• 한국엔터테인먼트산업학회논문지
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• 제13권4호
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• pp.157-164
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• 2019

드라마 연극이 희곡 텍스트를 무대 위에 재현하는데 관심을 두고 있다면, 포스트드라마 연극은 희곡 텍스트로부터 해방된 연극을 지향한다. 이 과정에서 드라마 연극이 만들어놓은 여러 경계들이 해체된다. 배우와 관객, 허구와 현실, 연극과 비연극, 작품과 사건, 언어와 비언어 등이 대표적인 경계의 이름이다. 이러한 경계의 해체는 드라마 연극에 의해서 잊혀졌던 고대 그리스 연극의 축제적 성격을 복원하는 계기가 된다. 이것은 아리스토텔레스 이래로 연극을 지배하였던 언어중심주의, 희곡중심주의를 해체하고 새로운 연극을 지향하게 한다. 언어중심주의, 희곡중심주의가 연극의 위기를 자초했다면, 포스트드라마 연극은 그것들을 해체함으로써 새로운 문화콘텐츠로서 관객과 소통하는 방법을 찾게 한다. 그 방법은 무엇보다 연극성의 회복에서 발견된다. 드라마 연극이 연극성보다 문학성에 종속된 것에 비해서 포스트드라마 연극은 문학성으로부터 해방된 연극성을 지향하고 있기 때문이다. 연극성이 강화된 포스트드라마 연극의 탈경계적 성격은 대중성 획득의 발판이 될 것이며, 이는 포스트드라마 연극의 문화콘텐츠로서의 가능성을 보여준다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 1996년도 10월 학술대회지
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• pp.473-475
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• 1996

The prosodic features of Spoken Chinese play the important roll of the naturalness, a list of prosodic labeling symbols represents all the prosodic features is given in this paper, and a paragraph of ' Prosodic Labeling Text '(PLT) is also attached for example.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.817-824
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• 2003

We employed a hierarchical document classification method to classify a massive collection of electronic medical records(EMR) written in both Korean and English. Our experimental system has been learned from 5,000 records of EMR text data and predicted a newly given set of EMR text data over 68% correctly. We expect the accuracy rate can be improved greatly provided a dictionary of medical terms or a suitable medical thesaurus. The classification system might play a key role in some clinical decision support systems and various interpretation systems for clinical data.

• 비교문화연구
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• 제38권
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• pp.7-28
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• 2015

This article considers Chunhyanjeon written in Japanese by Jang Hyukju in 1938. His Chunhyangjeon was presented from among the collusion and crack of 'things Japanese' and 'things Chosun' discussed in Japanese literary world in the 1930's. This article analyzed the writing method and the meaning of the text. Jang Hyukju(張赫宙, 1905~1997) became known to Japanese literary world by the second grade nomination of the prize contest of the magazine Kaizo in 1932. Since then, he worked actively in the Japanese literary world by writing novels in Japanese and introducing the literature of Chosun. Thanks to his activity, the literature of Chosun drew attraction from the Japanese, which can be called 'boom'. Jang Hyukju was in the middle of this boom. So, his text presented the collusion and crack of empire and colony. We can make sure this issue from his play Chunhyangjeon. When he presented Chunhyangjeon, Jang Hyukju mentioned his purpose of writing. He intended to write modern play in new literary style. Chunhyangjeon was surely the material of things traditional Chosun, which was corresponded to the demand of Japanese literary world. Through the story of Chunhyangjeon, however, he formed the modern text style. He wrote in standard Japanese language, and described things from the perspective style which is often used in modern novel. And he renewed the character characteristically and arranged the structure of the play. His writing style showed clear distinction in the comparison to Chunhyangjeon written by You Chijin which was presented in Korean language 2 years earlier than Jang Hyukuju's. The text Chunhyangjeon written in Japanese by Jang Hyukju reflected specificity as a district of Japan. But on the other hand, a new literary method of modern realism was tried. Chunhyangjeon written by Jang Hyukju shows the cross penetration of empire and colony. And in his Japanese-language literature, the literature of Chosun is coexisting and playing variation.

• 한국문헌정보학회지
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• 제17권
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• pp.49-83
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• 1989

A Full text retrieval system is a natural language document retrieval system in which the full text of all documents in a collection is stored on a computer so that every word in every sentence of every document can be located by the machine. This kind of IR System is recently becoming rapidly available online in the field of legal, newspaper, journal and reference book indexing. Increased research interest has been in this field. In this paper, research on full text databases and retrieval systems are reviewed, directions for research in this field are speculated, questions in the field that need answering are considered, and variables affecting online full text retrieval and various role that variables play in a research study are described. Two obvious research questions in full text retrieval have been how full text retrieval performs and how to improve the retrieval performance of full text databases. Research to improve the retrieval performance has been incorporated with ranking or weighting algorithms based on word occurrences, combined menu-driven and query-driven systems, and improvement of computer architectures and record structure for databases. Recent increase in the number of full text databases with various sizes, forms and subject matters, and recent development in computer architecture artificial intelligence, and videodisc technology promise new direction of its research and scholarly growth. Studies on the interrelationship between every elements of the full text retrieval situation and the relationship between each elements and retrieval performance may give a professional view in theory and practice of full text retrieval.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.196-203
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• 2020

In this study, we tried to explore the actual direction for the play culture by looking at the social perception of the change of play culture due to the Corona 19 using big data analysis. For this research, we used Textom, a website specializing in collecting big data, and collected 10,216 data using keywords of "Corona + Play," "Play Culture" and "Leisure" from January 19, 2020 to September 30, 2020, when the first confirmed case of Corona 19 occurred in Korea on various portal sites at home and abroad. The results of this paper showed that the social perception of the play culture in Corona 19 was 51.61%, not much different from the negative image of 48.15%. It is necessary to develop a play culture program that can identify people's various desires and emotions under the premise that situations similar to the current With Corona period and Corona19 can occur at any time, and find mental and physical stability and vitality in unstable situations. In addition, the results of this study can be used as basic data for the development of play culture policies or programs, with the significance that this study helped vitalize big data utilization research in the fields of play, leisure, and culture.

• 한국치위생학회지
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• 제19권4호
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• pp.493-502
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• 2019

Objectives: This study aimed to investigate the current status of oral health applications developed for smartphones because they can be used as a new educational medium to manage and improve oral health. Methods: This study examined 60 basic oral health applications provided by Google Play Store and Apple App Store as of May 2019 and examined delivery contents, delivery methods, application types, and other information. Results: Apple included 65.4% of oral apps in the game category whereas Android included 64.3% in the education category (p>0.05). All Apple's apps and 71.4% of Android apps were developed overseas (p<0.01). The delivery contents were 61.5% for Brushing + tooth decay in Apple, and 78.6% for others (oral care products and gum diseases) in Android (p>0.05). For the delivery method, game + video was 65.4% in Apple, and game and other methods (text, image, augmented reality) was 42.9% in Android (p>0.05). In the case of application type, play type was the most common with 88.5% in Apple, and 46.4% play type and 39.3% other type (text, appreciation, problem-solving types) in Android (p<0.01). In addition, play type was high in both education (53.8%) and game (90.0%) categories (p>0.05). The average review score was 4.30 in the education category, 4.34 in the case of brushing and care (delivery contents), 4.37 in the case of using game + video (delivery methods), and 4.57 in the case of Play + other types (application type) (p>0.05). Conclusions: The use of healthcare apps is expected to increase owing to improved lifestyles, an increase in the elderly population, cost-effectiveness, and convenience that is not affected by time and place. Effective use of oral health apps will require the participation of dental professionals in the development process to identify the exact status, expand subjects, and provide appropriate information.

• 영어어문교육
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• 제15권2호
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• pp.185-207
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• 2009

This study investigated the extent of informational text genre appeared in English textbooks at grades six, seven, and nine. Employing content analysis to analyze the literary forms, the researcher identified genre in each reading selection of each English textbook and classified it into six categories - fiction, information, biography, poetry, play, or fantasy. Especially, informational genre was classified further into two subcategories - non-narrative and narrative - in order to investigate the extent of non-narrative informational text only. The text genre was examined by analyzing (a) the number of reading selections representing each genre and (b) the number of words in reading selections devoted to each genre. The most frequent type of genre at grade 6 and 7 was fiction with 94% and 71% respectively, whereas at grade 9 it was devoted to information (51%), followed by fiction (37%). The largest number of words was devoted to fiction with 96% at the sixth grade and 70% at the seventh grade; on the other hand, for grade 9, it was devoted to information (46%), followed by fiction (39%). Although there was variance across different publishers, the informational text genre gained more significance as the grade level increased. In particular, the percentage of reading selections and words devoted to the non-narrative or expository informational genre was overall 4% at grade 6, 17% at grade 7, and 44% at grade 9. The findings demonstrated the need to pay more attention to informational literacy especially in the early grades for the development of balanced genre knowledge.

• 한국IT서비스학회지
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• 제11권sup호
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• pp.139-152
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• 2012

In the medical web forum, people share medical experience and information as patients and patents' families. Some people search medical information written in non-expert language and some people offer words of comport to who are suffering from diseases. Medical web forums play a role of the informative support and the emotional support. We propose the automatic classification model of articles in the medical web forum into the information support and emotional support. We extract text features of articles in web forum using text mining techniques from the perspective of linguistics and then perform supervised learning to classify texts into the information support and the emotional support types. We adopt the Support Vector Machine (SVM), Naive-Bayesian, decision tree for automatic classification. We apply the proposed model to the HealthBoards forum, which is also one of the largest and most dynamic medical web forum.

• Journal of Korea Trade
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• 제24권8호
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• pp.171-188
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• 2020

Purpose - This is an exploratory study that aims to apply text mining techniques, which computationally extracts words from the large-scale text data, to legal documents to quantify trade claim contents and enables statistical analysis. Design/methodology - This is designed to verify the validity of the application of text mining techniques as a quantitative methodology for trade claim studies, that have relied mainly on a qualitative approach. The subjects are 81 cases of arbitration and court judgments from China published on the website of the UNCITRAL where the CISG was applied. Validation is performed by comparing the manually analyzed result with the automatically analyzed result. The manual analysis result is the cluster analysis wherein the researcher reads and codes the case. The automatic analysis result is an analysis applying text mining techniques to the result of the cluster analysis. Topic modeling and semantic network analysis are applied for the statistical approach. Findings - Results show that the results of cluster analysis and text mining results are consistent with each other and the internal validity is confirmed. And the degree centrality of words that play a key role in the topic is high as the between centrality of words that are useful for grasping the topic and the eigenvector centrality of the important words in the topic is high. This indicates that text mining techniques can be applied to research on content analysis of trade claims for statistical analysis. Originality/value - Firstly, the validity of the text mining technique in the study of trade claim cases is confirmed. Prior studies on trade claims have relied on traditional approach. Secondly, this study has an originality in that it is an attempt to quantitatively study the trade claim cases, whereas prior trade claim cases were mainly studied via qualitative methods. Lastly, this study shows that the use of the text mining can lower the barrier for acquiring information from a large amount of digitalized text.