• Journal of Popular Narrative
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• v.27 no.2
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• pp.143-177
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• 2021

In the history of Korean literature, evaluations on 『Jirisan』 (Lee Byeong-ju) are bisected. Some evaluate it as a novel of authentic records which reproduces the history before and after the emancipation objectively while others say it takes advantage of anti-communistic ideology. This study analyzes that difference is resulted not from the distinction of perspectives but from cracks in the text. This is associated with the process of 『Jirisan』's publication. 『Jirisan』 was published serially in 『Sedae』 from 1972, and then, part of the manuscript was published in 1978 and the whole edition published in a series came to be republished in 1981. After that, in 1981 and 1985, part of the follow-up story was printed on the magazine, and then, with the memoirs of those two years as materials, the sixth and seventh volumes were again published through 'revision'. In other words, the publication of 『Jirisan』 is divided into that of the edition published in a series and that of the edition published in 1985 including the contents of revision. The theme of the work, 『Jirisan』 differs according to the point of its completion you may think of. This researcher pays attention to the difference of perspectives between the contents up to the fifth volume and those of the sixth and seventh volumes. Particularly, his evaluation on 'partisans' seems to have changed. In the edition published in a series, he extended 'partisans' into the independence movement in the Japanese colonial era under the Revitalizing Reforms system and adopted the representation of 'partisans' three-dimensionally whereas in the sixth and seventh volumes, he reproduced 'partisans' as beings that were the 'doctrinaire' and 'vicious' 'Reds' and had to be punished. In brief, with 『Jirisan』, he represented 'partisans' in the background of history before and after the emancipation and segmented the discourse, representation and ideology of the Cold War system, but in the process of revision, he stitched up 'partisans' as beings that were evil and losers. Consequently, with 『Jirisan』, he revealed the process of division and contention that proceeded around anti-communism/capitalism within the abyss of the 1970's to 80's and reproduced 'partisans' as beings that were either 'hostile (the Reds)' or 'unknown (losers)

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.95-110
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• 2013

Recently, the amount of unstructured data being generated through a variety of social media has been increasing rapidly, resulting in the increasing need to collect, store, search for, analyze, and visualize this data. This kind of data cannot be handled appropriately by using the traditional methodologies usually used for analyzing structured data because of its vast volume and unstructured nature. In this situation, many attempts are being made to analyze unstructured data such as text files and log files through various commercial or noncommercial analytical tools. Among the various contemporary issues dealt with in the literature of unstructured text data analysis, the concepts and techniques of opinion mining have been attracting much attention from pioneer researchers and business practitioners. Opinion mining or sentiment analysis refers to a series of processes that analyze participants' opinions, sentiments, evaluations, attitudes, and emotions about selected products, services, organizations, social issues, and so on. In other words, many attempts based on various opinion mining techniques are being made to resolve complicated issues that could not have otherwise been solved by existing traditional approaches. One of the most representative attempts using the opinion mining technique may be the recent research that proposed an intelligent model for predicting the direction of the stock index. This model works mainly on the basis of opinions extracted from an overwhelming number of economic news repots. News content published on various media is obviously a traditional example of unstructured text data. Every day, a large volume of new content is created, digitalized, and subsequently distributed to us via online or offline channels. Many studies have revealed that we make better decisions on political, economic, and social issues by analyzing news and other related information. In this sense, we expect to predict the fluctuation of stock markets partly by analyzing the relationship between economic news reports and the pattern of stock prices. So far, in the literature on opinion mining, most studies including ours have utilized a sentiment dictionary to elicit sentiment polarity or sentiment value from a large number of documents. A sentiment dictionary consists of pairs of selected words and their sentiment values. Sentiment classifiers refer to the dictionary to formulate the sentiment polarity of words, sentences in a document, and the whole document. However, most traditional approaches have common limitations in that they do not consider the flexibility of sentiment polarity, that is, the sentiment polarity or sentiment value of a word is fixed and cannot be changed in a traditional sentiment dictionary. In the real world, however, the sentiment polarity of a word can vary depending on the time, situation, and purpose of the analysis. It can also be contradictory in nature. The flexibility of sentiment polarity motivated us to conduct this study. In this paper, we have stated that sentiment polarity should be assigned, not merely on the basis of the inherent meaning of a word but on the basis of its ad hoc meaning within a particular context. To implement our idea, we presented an intelligent investment decision-support model based on opinion mining that performs the scrapping and parsing of massive volumes of economic news on the web, tags sentiment words, classifies sentiment polarity of the news, and finally predicts the direction of the next day's stock index. In addition, we applied a domain-specific sentiment dictionary instead of a general purpose one to classify each piece of news as either positive or negative. For the purpose of performance evaluation, we performed intensive experiments and investigated the prediction accuracy of our model. For the experiments to predict the direction of the stock index, we gathered and analyzed 1,072 articles about stock markets published by "M" and "E" media between July 2011 and September 2011.

• Journal of the Korean earth science society
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• v.28 no.7
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• pp.811-824
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• 2007

Photographs and illustrations are integral parts of current science textbooks' inscriptions. This study analysed and compared the function and structure of photographs and illustrations used in high school earth science textbooks of the 6th and 7th national curriculum. The findings of the function analysis showed that 'illustrative' function was far superior to other functions in terms of frequency and ratio. The illustrative function varied more in the 7th curriculum textbooks, especially in earth science I. 'Explanatory' and 'complementary' functions, which were relatively ignored in the 6th curriculum, significantly increased in the 7th curriculum textbooks. 'Decorative' function increased on the whole. The results of the structure analysis revealed that indexical reference remarkably decreased in the 7th curriculum textbooks, which means the retrogression of co-deployment with main text. 'Multiple' organized photographs and illustrations significantly increased in the 7th curriculum textbooks, while 'pair' and 'series' organization did not show an increase at all. It was suggested in this study that 'inquisitive' function and 'complementary' organization should be supplemented in terms of both function and structure. Moreover, the functional and structural aspects of scientific inscriptions including photographs and illustrations should be utilized by the certification criteria of science textbooks.

• Archives of design research
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• v.20
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• pp.253-262
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• 1997

The era of film has begun as a few media critics had anticipated already. The interestings of visual designers has asked to being with images in the processing and changing of varied image culture are different from the era of print media. It is reason to being with images that are generalizing of video culture. Now the film of images that made from popular advertisings and goods influenced by films has come. At first to being with image to visual designers need to understand films and to join making films. In films, visual designers make strengthen in part of credit titles. Credit titles are elements in films with the form of text to help understanding in the beginning and closing part of films. Credit title design has begun first by American visual designer Saul Bass as p pioneer position and have made to be varied film credit technics of computer. The advanced of technics have to think aspects of meaning of titles in the film of '007' movie series through 60s &70s. In 80s more technics have developed to being varied credits to films. And after all, in 90s there are films with almost varied titles. In Korean films ars less varied than that of Amenrican's and of French, in this study I hope to develope more varied Korean credit titles in near future.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.34-48
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• 2024

As global supply chain risks proliferate unpredictably, the high interdependence of port and logistics industry intensifies the risk burden. This study conducted fundamental research to explore diverse safety issues in domestic ports. Utilizing news article data about Busan Port, we employed LDA topic modeling and time-series linear regression to understand key safety trends. Over the past 30 years, Busan Port faced nine major safety issues-maritime safety, import cargo inspection, labor strikes, and natural disasters emerged cyclically. Major port safety issues in Busan Port are primarily characterized by an unpredictable nature, falling under socio-environmental and natural phenomena types, indicating a significant impact of global uncertainty. Therefore, systematic policies need to be formulated based on identified port safety issues to enhance port safety in Busan Port. Additionally, there is a need to strengthen the resilience of port safety for unpredictable risk situations. In conclusion, advanced research activities are necessary to promote port safety enhancement in response to dynamically changing social conditions.

• Cartoon and Animation Studies
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• s.41
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• pp.75-106
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• 2015

Animations characterize space as a strategy to effectively show the inner conflicts of characters and to highlight the theme. During the process of inner conflict, characters unconsciously use defense mechanism to protect their egos from the fear that came from deficiency, and because of the self-deceptive quality of self-defense mechanism, the reality is distorted and conflicts get intensified. This study focuses on the concept of anti-house, the space where conflicts get intensified, analyzes animations to find out the aspect of inner conflict, and interprets the characteristic of space that is used for metaphoric structure frame. Also, it aims to reveal how the defense mechanism, which intensifies the inner conflict of characters, is characterized as anti-house. The analysis in this study was mainly done with the TV series, , and the theater version of . It is because the characters have serious deficiency from broken home and have a psychological quality of closed boundary that is symbolized as 'A.T. field'. Especially, the core character, 'Shinji Ikari', shows how a character uses compulsive self-defense mechanism to deal with inner conflict and as a result, goes through ego-collapse and then introspection. This process of the character's experience is the core of the whole plot. Through analysis, the relationship between the character's self-defense mechanism and the space, anti-house(which expands to Anti-city), was inferred. The space is made up of three axes, x-axis of horizontal space, y-axis of vertical space, and in the sense that all the space has no exit, z-axis of deeper contradictory space. This thesis started with the decision that is the most suitable work in analyzing the metaphorical relationship between self-defense mechanism and anti-house. There was limitation, however, as the typical characteristics of Japanese animations, pedantic composition and the possibility of broad interpretation, hindered clear verification. Hopefully, this limitation will be overcome by following studies and this study is expected to show the importance of space in interpreting the text of animations, and to serve as database for other creative works.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of Popular Narrative
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• v.26 no.4
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• pp.77-114
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• 2020

This article aims to examine the Sinpa of Along With the Gods: The Two Worlds. Along with the Gods: The Two Worlds was a box office hit with a 10 million attendance mark, but it was also criticized as a 'Korean Sinpa' at the time of its release. The original version of Along with the Gods is a Webtoon called Singwahamkke in Korean. The popularity of Singwahamkke and its adaptation, Along with the Gods was enormous, which prompted a very active research to be carried about the work. However there are only a few articles which analyze the Along with the Gods: The Two Worlds focusing on the Sinpa, even though the Sinpa of the Along with the Gods: The Two Worlds was a highly controversial issue when the movie was released. In this regard, this article tries to examine the Sinpa of the Along with the Gods: The Two Worlds closely, especially by comparing it with the original webtoon Singwahamkke Jeoseung. The body part of this article is composed of three major parts: chapters 2, 3, and 4. Chapter 2 contains an in depth explanation about the notion of Sinpa, the main conceptual research tool for this study. In chapter 3, the original webtoon Singwahamkke Jeoseung is examined closely. This chapter analyzes the 'Sinpajeok moment' in Singwahamkke Jeoseung and argues that despite the presence of Sinpa elements, the webtoon cannot be considered a 'Sinpajeok text'. On the other hand the main subject of chapter 4 is discovering what effect the adaptation from webtoon to movie had on this work, with a particular focus on the gender of Sinpa and Kim Ja-hong. Chapter 5, which corresponds to the conclusion, briefly evaluates the social significance of the controversy arisen in South Korea about the Sinpa in Along with the Gods: The Two Worlds. Sinpa is one of the most repeated code in the realm of Korean popular narrative. This is why the Sinpa of contemporary text is examined continuously even though there are already plenty of studies on the Sinpa. Everyone has called Along with the Gods: The Two Worlds Sinpa but no one has properly analyzed it. It is hoped that this article which closesly examined the Sinpa in Along with the Gods: The Two Worlds contribute to the field of Sinpa. It is also expected that this article can find appropriate contextual meaning of the series of Along with the Gods.

• Journal of The Korean Association For Science Education
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• v.8 no.1
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• pp.1-22
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• 1988

The educational policy of a nation should be based on the results of nation-wide studies and their analyses. This study is the third one in a series of research on "development of improvement plan and monitoring system for secondary school science", focusing on the three major areas, such as students' achievements, science instruction and conditions for science education in vocational high schools. In general, the results showed that science achievements in vocational high schools were significantly lower than those of general high schools. While the achievement level in physics was lower by one percent, the achievement levels in chemistry and biology were significantly lower by more than 5 percents. In the case of scientific inquiry, the results showed much lower scores compared to those of general high schools. Concerning the inquiry abilities, most of the students did not possess the formal operational thinking skills such as controlling variables and combinatorial thinking. The ability of experimental skills seemed to be closely related to the students' majors. Students in industrial arts schools could measure electric resistance very well, while students in agricultural high school students failed completely. In the area of students' attitude toward science, the greater part of the students had the experiences of using scientific equipments (68.6 %), experimentation (54.3 %), and extracurricular science activities (56.9 %). They also showed positive attitude towards the nature of science (59.8%). The results of the survey on science instruction and school conditions for science education showed the needs for improvement In general, the priority of science education in vocational high schools was very low compared to their major subjects. The teachers as well as students thought science text books nor to be difficult These responses and the low achievement levels seemed to be contradictory to each other. The facilities for science experiments were better equipped and installed to general high schools. However. the lack of budget was a major problem for performing experiments uning the facilities. Therefore. science education in vocational high school have many things to be improved For the improvement of science education in vocational high schools, financial support as well as the intention for the improvement must be the essential factors.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.1-27
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• 2017

It is known that the economic sentiment index and macroeconomic indicators are closely related because economic agent's judgment and forecast of the business conditions affect economic fluctuations. For this reason, consumer sentiment or confidence provides steady fodder for business and is treated as an important piece of economic information. In Korea, private consumption accounts and consumer sentiment index highly relevant for both, which is a very important economic indicator for evaluating and forecasting the domestic economic situation. However, despite offering relevant insights into private consumption and GDP, the traditional approach to measuring the consumer confidence based on the survey has several limits. One possible weakness is that it takes considerable time to research, collect, and aggregate the data. If certain urgent issues arise, timely information will not be announced until the end of each month. In addition, the survey only contains information derived from questionnaire items, which means it can be difficult to catch up to the direct effects of newly arising issues. The survey also faces potential declines in response rates and erroneous responses. Therefore, it is necessary to find a way to complement it. For this purpose, we construct and assess an index designed to measure consumer economic sentiment index using sentiment analysis. Unlike the survey-based measures, our index relies on textual analysis to extract sentiment from economic and financial news articles. In particular, text data such as news articles and SNS are timely and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. There exist two main approaches to the automatic extraction of sentiment from a text, we apply the lexicon-based approach, using sentiment lexicon dictionaries of words annotated with the semantic orientations. In creating the sentiment lexicon dictionaries, we enter the semantic orientation of individual words manually, though we do not attempt a full linguistic analysis (one that involves analysis of word senses or argument structure); this is the limitation of our research and further work in that direction remains possible. In this study, we generate a time series index of economic sentiment in the news. The construction of the index consists of three broad steps: (1) Collecting a large corpus of economic news articles on the web, (2) Applying lexicon-based methods for sentiment analysis of each article to score the article in terms of sentiment orientation (positive, negative and neutral), and (3) Constructing an economic sentiment index of consumers by aggregating monthly time series for each sentiment word. In line with existing scholarly assessments of the relationship between the consumer confidence index and macroeconomic indicators, any new index should be assessed for its usefulness. We examine the new index's usefulness by comparing other economic indicators to the CSI. To check the usefulness of the newly index based on sentiment analysis, trend and cross - correlation analysis are carried out to analyze the relations and lagged structure. Finally, we analyze the forecasting power using the one step ahead of out of sample prediction. As a result, the news sentiment index correlates strongly with related contemporaneous key indicators in almost all experiments. We also find that news sentiment shocks predict future economic activity in most cases. In almost all experiments, the news sentiment index strongly correlates with related contemporaneous key indicators. Furthermore, in most cases, news sentiment shocks predict future economic activity; in head-to-head comparisons, the news sentiment measures outperform survey-based sentiment index as CSI. Policy makers want to understand consumer or public opinions about existing or proposed policies. Such opinions enable relevant government decision-makers to respond quickly to monitor various web media, SNS, or news articles. Textual data, such as news articles and social networks (Twitter, Facebook and blogs) are generated at high-speeds and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. Although research using unstructured data in economic analysis is in its early stages, but the utilization of data is expected to greatly increase once its usefulness is confirmed.