• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.362-375
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• 2019

Since Kim Dae-jung's administration, the Korean government has established policy for overseas Koreans to provide nationalism education to their descendants. While the policy is still in effect today, as to how the recipients of the support in the USA make meaning of the programs given much changes in the social climate in respect to Korean culture, has not been examined in-depth. Therefore, through in-depth interviews with Korean Americans, the current study examined how the recipients of the educational program perceive policy on education program towards Korean Americans and whether it has strengthened their nationalism or sentiment towards motherland. The study further examines the factors that influences their sentiments towards the motherland as identified by Korean Americans. The findings show that exposure to the culture and parents' teachings of the Korean values have helped them embrace Korean heritage. Moreover, findings revealed that their sense of Koreanness were due to positive memories from visits they had when they were young and changes in Korea's status in the global arena. Future direction of the policy and suggestion for specific programs for Korean Americans, as well as implications of the findings are discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.141-155
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• 2017

As the use of SNS becomes more active, many people are posting their thoughts about specific events in their SNS in the form of text. As a result, SNS is used in various fields such as finance and distribution to conduct service satisfaction surveys and consumer monitoring. However, in the transportation area, there are not enough cases to utilize unstructured data analysis such as emotional analysis. In this study, we developed an emotional analysis methodology that can be used in transportation by using highway VOC data, which is atypical data collected by Korea Expressway Corporation. The developed methodology consists of morpheme analysis, emotional dictionary construction, and emotional discrimination of the collected unstructured data. The developed methodology was verified using highway related tweet data. As a result of the analysis, it can be guessed that many information and information about the construction and the accident were related to the highway during the analysis period. Also, it seems that users complain about the delay caused by construction and accident.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.233-253
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• 2014

Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• (The)Study of the Eastern Classic
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• no.50
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• pp.55-88
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• 2013

Gwonwu Hong Chan-yu is one of the modern and contemporary Korean scholars of Sino-Korean literature and one of the literati of his era, so is respected as a guiding light by academic descendants. Gwonwu was a teacher of his era, who experienced all the turbulence of Korean society, such as the Japanese occupation by force, the Korean War, the military dictatorship, and the struggle for democracy, and who educated and led young scholars of his time. However, academia has not payed attention to his life and achievements since his death. This paper is to examine the poetry of Gwonwu Hong Chan-yu, one of the representative modern and contemporary scholar of Sini-Korean literature, which has not yet been discussed by academia. The minimal meaning of this paper is that it is a first work based on his anthology, which has not been discussed by academia, and a first full-scale study on Gwonwu Hongchan-yu. For the reason, this paper aims at the detailed inspection of his poetic pieces recorded in his anthology. Nonetheless, despite such intentions, some limits cannot be avoided here and there in this paper for the insufficient knowledge and academic capability of this paper's writer and for the lack of academic sources. Gwonwu's poetry examined through his anthology shows the characteristic which is that his poems focus on exposing his own internal emotions. Such a characteristic says that his idea of poetic literature payed attention more to individuality, that is exposition of private emotions, than to social utility of poems. Gwonwu's such an idea of poetic literature can be generally affirmed throughout his poetry. Accordingly, Gwonwu preferred classical Chinese poems to archaistic poems, and single poems to serial poems; and avoided writing poems within social relations such as farewell-poems, bestowal-poems, and mourning-poems. When the characteristics of Gwonwu's poetic literature get summarized as such, however, some questions remain. The preferential question is whether the poems in his anthology are the whole poetry of him. Although Gwonwu's poetic pieces that the writer of this paper have checked out till now are all in his anthology, it is very much questionable whether Gwonwu's poetry can be summed up only with these poems. The next question is what is the writing method for taking joy(spice), sentiment, and full-heart into his poems if Gwonwu's poems focus on exposing his internal emotions, and if poems exposing joy and poems exposing sentiment and full-heart appear coherently in various different spaces and circumstances of writing. The final question is what are the meanings of Gwonwu's poems if his poetry checked out through his anthology directly shows either the reality carried in his poems or the reality of a time in his life. The questions listed above are thought to be resolved by the synchronizing process of stereoscopic searches both for Gwonwu as an individual and for the era of his life. Especially, spurring deeper researches toward a new direction regarding Gwonwu's poetry has an important meaning for construction of a complete modern and contemporary history of Sino-Korean literature and for procurement of continuous research on Sino-Korean literature and its history. For the reason, it is thought that more efforts of researchers are required.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.33-41
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• 2010

Patterns are symbolic expressions of life style or sentiment of people as a product of culture. Furthermore, it is a type of language that the shape or implication does not change much over time. Patterns shown on the Korean medical containers are related to human life and health that they are not very diverse and splendid but closed used in real life. The medical containers include the alcohol container or tea-ware in broad sense, but under this study, it would be handled only for the Korean medical containers directly used to protect human health and treatment of diseases. They would be the Medicine Mortar and Pestle that is used to grind the herbal medical ingredients, pots that hold the liquid decoction, containers to keep the medical ingredients in general conceptual use for medical purposes. The patterns inscribed are classified in animal pattern, plant pattern or alphabet pattern. Turtle, crane, ginseng, and life patterns have the contemplation to pray for long life without disease or good fortune, while plum pattern, dragon pattern and the like are used in the medical containers used mainly in royal families with the social status and dignity shown. As such, patterns have not only ornament elements but also the symbolic implication to represent long life without illness for human. It provides the basic data of medical wisdom contained in the pattern and willingness of human to protect life from illness. On the basis of such research, it would require ensuing studies to make comparison and analysis with the medical containers with the patterns in the adjacent countries in the days to come.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.555-570
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• 2011

In order to do morally right behavior that we cognitively know, prosocial moral motivation is necessary. Previous studies revealed emotion is important for prosocial moral motivation. This was supported by cognitive neuroscience studies using functional magnetic resonance imaging(fMRI) in which the activity of ventral striatum(VS) was observed when people made moral decision. VS was originally known as the core area of reward process but recently VS was found to respond also to social reward and even feeling of prosocial emotion itself. However it is not clear why VS was activated when people experience prosocial moral sentiments. The aims of this review article were to find situations in which people are prosocially and morally motivated and to understand more about the role of emotion as a moral motivator by examining evidence regarding the neural network, including VS, of prosocial moral motivation and moral decision-making.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.610-618
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• 2017

Sex offense by medical practitioners has been occurring continuously in Korea leading to not only patients but the general public expressing anxiety and increased distrust in the medical field. The government has been pushing ahead with the legislation or revision of law to increase the penalties on sexual offenders in response to requests for a stricter legal framework to address sex offense cases and has expressed a strong commitment to actively resorting to administrative corrective measures towards sexually offending medical practitioners. Unlike such an overall social atmosphere, the Judiciary that is in charge of applying the law seems not to perceive the seriousness of sex offense cases committed by medical practitioners. A doctor who had sexually assaulted a middle school female student during medical treatment at a pediatric hospital was found innocent by the supreme court, which was a ruling in direct contrast to overall public sentiment. As such, this study seeks to analyze the precedent on cases involving sex offense by medical practitioners with a focus on the above-mentioned case and present implications. The study seeks to dispel distrust in the overall medical field by addressing the gap in legal interpretation towards sex offense committed by medical practitioners and thus provide basic data that can help the general public receive quality medical services in a safer environment.

• Journal of The Korean Digital Architecture Interior Association
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• v.11 no.2
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• pp.93-102
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• 2011

Existing research for store has been localized in that of Seoul area, and research for the Japanese style store built under the rule of Japanese Imperialism has not been done properly owing to national sentiment. This research established Naju that inland pillage is available along Yeongsan River after opening of Mokpo harbor. I will compare modernization developmental process of building of Korean style store with that of Japanese Style store, so obviously try to make clear the activities of modernization by linking social and economical change with Joseon merchants' life. I will try to light up the position of korean style store in Naju area in history of architecture by analyzing two styles of stores into urban architectural element, putting process of change in order and translating it according to flow of age. The development process of Korean restaurant stores and that of Japanese counterparts are rather relative. Whereas Japanese accumulated wealth through oppression and exploitation of the people of Joseon the former dynasty of present day Korea, the people of Joseon could not but be oppressed and depressed. On the other hand, while the dynamic liberation movements of Joseon merchants managed to develop based on the vitality that was growing ever more, Japanese chose to back down to some degree by exercising appeasing policy. The efforts to take initiative by shattering off the submissive attitude can be found from the ability fostering movement, Gwangju students campaign and new construction or remodeling of hanok the traditional Korean house as commercial building in the 1920s. The changing phase of the people breaking away from subjugated relation to subjective attitude can be found in the commercial districts.

• Journal of the Korean Society of Costume
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• v.59 no.7
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• pp.127-139
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• 2009

The purpose of this study is to research the change of Tibet's commercial district following Tibet's globalization(traditional clothing to modern clothing). Tibet's traditional culture is fastly changing for two major reasons: Chinese government's persistent assimilation policy on minority ethnic groups and globalization, a powerful trend worldwide. Therefore this investigation was conducted on the most preeminent feature of life, clothing culture, at capital city Lhasa where modernization is most prominent and fast in Tibet. For this, the first field investigation was conducted between February 5th and 15th, 2007. and the second investgation was between January 16th and 25th, 2008. As a result, the study on clothing globalization in Lhasa, Tibet, reaches the conclusion as follows: Based on such developments, commerce of Lhasa has been modernized, bringing about great change in composition and formation of its commercial district. Stores have been modernized and their service quality has improved. While the number of traditional clothes shops has decreased, various types of modern clothes shops have emerged. Modern clothes stores mostly consist of quality men's wear shops, casual clothing shops targeting those in their 20s, and sportswear shops reflecting global trend. This composition indicates that it is men and younger generation who first adopt new culture emerged through globalization. Tibet's modernization and social development have become an integral part of globalization and public sentiment. Therefore, its modernization will be driven by power and capability of the public, rather than by policy control of the central government.