• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.123-138
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• 2017

Since the stock market is driven by the expectation of traders, studies have been conducted to predict stock price movements through analysis of various sources of text data. In order to predict stock price movements, research has been conducted not only on the relationship between text data and fluctuations in stock prices, but also on the trading stocks based on news articles and social media responses. Studies that predict the movements of stock prices have also applied classification algorithms with constructing term-document matrix in the same way as other text mining approaches. Because the document contains a lot of words, it is better to select words that contribute more for building a term-document matrix. Based on the frequency of words, words that show too little frequency or importance are removed. It also selects words according to their contribution by measuring the degree to which a word contributes to correctly classifying a document. The basic idea of constructing a term-document matrix was to collect all the documents to be analyzed and to select and use the words that have an influence on the classification. In this study, we analyze the documents for each individual item and select the words that are irrelevant for all categories as neutral words. We extract the words around the selected neutral word and use it to generate the term-document matrix. The neutral word itself starts with the idea that the stock movement is less related to the existence of the neutral words, and that the surrounding words of the neutral word are more likely to affect the stock price movements. And apply it to the algorithm that classifies the stock price fluctuations with the generated term-document matrix. In this study, we firstly removed stop words and selected neutral words for each stock. And we used a method to exclude words that are included in news articles for other stocks among the selected words. Through the online news portal, we collected four months of news articles on the top 10 market cap stocks. We split the news articles into 3 month news data as training data and apply the remaining one month news articles to the model to predict the stock price movements of the next day. We used SVM, Boosting and Random Forest for building models and predicting the movements of stock prices. The stock market opened for four months (2016/02/01 ~ 2016/05/31) for a total of 80 days, using the initial 60 days as a training set and the remaining 20 days as a test set. The proposed word - based algorithm in this study showed better classification performance than the word selection method based on sparsity. This study predicted stock price volatility by collecting and analyzing news articles of the top 10 stocks in market cap. We used the term - document matrix based classification model to estimate the stock price fluctuations and compared the performance of the existing sparse - based word extraction method and the suggested method of removing words from the term - document matrix. The suggested method differs from the word extraction method in that it uses not only the news articles for the corresponding stock but also other news items to determine the words to extract. In other words, it removed not only the words that appeared in all the increase and decrease but also the words that appeared common in the news for other stocks. When the prediction accuracy was compared, the suggested method showed higher accuracy. The limitation of this study is that the stock price prediction was set up to classify the rise and fall, and the experiment was conducted only for the top ten stocks. The 10 stocks used in the experiment do not represent the entire stock market. In addition, it is difficult to show the investment performance because stock price fluctuation and profit rate may be different. Therefore, it is necessary to study the research using more stocks and the yield prediction through trading simulation.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.403-408
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• 2013

The configuration analysis for the image appeared in the storyboard as the 1st stage to change the scenario to the image expressed the visual phenomenon image starting from the literalism. The simultaneity of description on the interpretative level of the narrative description may describe various information multiple simultaneously, the relationship has been presented as a lot of these information has been weaved as one episode. The incident time of narrative description as the scene described mainly objectively and illustratively has been used usefully to present the accurate information for characters or incidents. The time series of narrative description appeared as one episode by expressing various spaces or images under the continuity of flow according to the time. The collision image seen from the angle of internal ignition played a role to create the meaning colliding into each other or interconnecting symbolic effects appeared as respectively fragmented image, the continuity of space played a role of expressing the different symbol when the image of completely different space is connected to one context, the continuity of time as well makes a different symbolism by interpreting symbols appeared as each images under the flow of time. These results show that the narrative description may be expressed in accordance with the narrative structure from the viewpoints of narrative description, but the internal ignition may be interpreted through the cultural and periodical background widely known in those years based on the experience and information capability the audiences are keeping not by any descriptive structure. Images appeared in the internal ignition appeared by colliding into each other or amplifying mutually no related scenes and revealing the overall symbolism by reinterpreting again.

• The Korean Journal of Archival Studies
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• no.28
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• pp.83-121
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• 2011

Archival contents service for education is now a major service program in a foreign National Archives. Therefore We need to study their archival contents services in more depth-analysis methods for the development of our contents. My study is based on the summary of the Homepage Sites for Education of the TNA of UK and the NARA of USA. And also a depth-case study on structures of the samples, 'Coldwar' contents of the TNA and the 'McCarthy' contents of the NARA. As a results, first, the formats of archival contents for teaching-learning materials should be in consistent contents structures like a standard textbooks. Second, archival contents service for teaching-learning materials certainly have to support original images of primary resources and educational kits in order to read easily primary sources. Third, given the costs of development, it's desirable for archive to develop archival contents for teaching-learning materials in the way of cross-use by age and curriculum. Forth, when selecting primary sources for teaching-learning materials, priorities have to be given to the text-sources in the light of learning purposes for history education. Fifth, National archives must develop archival contents for teaching-learning materials in connection with standard curriculums in order to promote a nation-wide use.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.473-481
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• 2020

Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.143-180
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• 2019

This article aims to examine the manner in which the 'Byeongmat' discourse was constructed, and the mechanism of the 'Byeongmat' discourse. I claim that the constructed discourse excludes disabled persons and women. When the 'Byeongmat' first appeared in the mainstream, it was understood as being presented only by webtoons. Furthermore 'Byeongmat' and webtoons were understood as almost synonymous. In this sense, it is no exaggeration to say that the way in which the 'Byeongmat' discourse was constructed is the way in which 'Byeongmat webtoons' were interpreted. In this article, to find out how the 'Byeongmat' discourse was constructed, I examine two things. First, the reception of media of 'Byeongmat'. 'Byeongmat' was at first understood as 'kitsch' by the media, but soon after generational meaning was added. Second, the interpretation of 'Byeongmat' in academia. In academia, the 'Byeongmat' discourse is advanced as a refined generationalism. Regardless of the 'Byeongmat webtoon' itself, 'Byeongmat webtoon' is interpreted as a text which is destructing narrative and filled with parodies. Furthermore this characteristic of the 'Byeongmat webtoon' is interpreted as a resistance culture of the younger generation. However, this interpretation serves as a mechanism which excludes the disabled and women. Currently, Korean society faces the popularization of the 'Byeongmat' code, the decline of the 'Byeongmat webtoons' and the crack of the younger generation discourse. The current situation allows the 'Byeongmat' discourse to be criticized without losing its social context while securing a distance of critcism. I expect that this article can contribute to further diversifying interpretations of 'Byeongmat' and 'Byeongmat webtoons', and accelerating the crack on the younger generation discourse.

• Cartoon and Animation Studies
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• s.36
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• pp.669-702
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• 2014

Today, in Korean modern fine arts, 'cartoon images' are utilized for their roles of the 'personas' of the artists, and as the 'texts' for the artistic discourses, while they play a role as a bridgehead between the public and art. In this study, we made a study, focusing on 'Atomouse' of Lee Dong-gi, in order to examine how the borrowing of the 'cartoon images' was made in the Korean modern fine arts, and what its period context is. 'Atomouse' of Lee Dong-gi is the first cartoon character that appeared in Korean modern fine arts, and it has acquired a symbolism of a subculture being acknowledged as art. In this study, we tried to find out what period contexts the changes of 'Atomouse' have, focusing on the private exhibitions of Lee Dong-gi, such as 'Smoking' Exhibition (2006), 'Bubble' Exhibition (2008), 'Double Vision' Exhibition (2008), 'The Garden of Uncertainty' Exhibition (2012) and 'Do Not Look Back with Angry Face' Exhibition (2013). Atomouse was born in the era of 'lack of pop' a change was attempted of it in the era of 'excess of pop' and its proceeding ended along with the 'settlement of the neo-pop'. From Atomouse started from the unconsciousness of the artist, we can find the 'identity' of the Republic of Korea, which was being influenced by the 'American and Japanese' culture, as well as the symbolism of a subculture being acknowledged as art, while it emerged as an icon to represent the Korean pop art of the time. Then, as the agony and self-examination of the artist was contained in it, its use was changed into the role as a persona and it was utilized as a tool to connect the and figurative worlds. In the end, the artist put an end to the proceeding of the 'Atomouse' at the boundaries of a persona and an alter ego, removing the creation with his own hands. In the process in which Lee Dong-gi created and changed 'Atomouse', the start-up and growth of the pop art are included in the history of the Korean modern fine arts, apart from a study of an artist. 'Atomouse' was not only painted on the walls of the subway stations in the form of public art, but it tried to closely communicate with the public through the collaboration with diverse media. It made the best use of the 'marketability' which a 'cartoon character' had at first, so that pure art was made a step closer to the public. So 'Atomouse' of Lee Dong-gi not only raised a subculture into the realm of high art, but lowered the door sill to high art. Through the study we could confirm what position 'Atomouse' of Lee Dong-gi, which started absurdly between parody and Hommage, takes in Korean modern art of today.

• Journal of Popular Narrative
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• v.27 no.2
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• pp.215-262
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• 2021

This thesis focuses on Wandeuki and Elegant Lies - novels written by Kim Ryeo-reong and adapted into the film by Director Lee Han; this thesis analyzes the process of storytelling being transformed as the media is converted. Also, this thesis discusses cultural-political implications of transmedia storytelling where different narrative responses coexist concerning post-IMF family disorganization and "individualization." First of all, this thesis critically reviews existing discourses on the concept of transmedia storytelling and refers to 'transfictionality' the narratological concept of Marie-Laure Ryan in order to look into media conversion storytelling that starts from original novels. The novels Wandeuki and Elegant Lies show two aspects of "individualization" that adopts existential conditions of family disorganization. Wandeuki deviates from patriarchal family romance through self-discovery and exhibits loose family bond, which is something similar to companionship of close individuals. Elegant Lies shows individualization of pain by portraying a teenager who found herself completely isolated, while showing that it is impossible for the people left behind to mourn. On the other hand, director Lee Han's films and show stories in which family members, who are confronting family dissolution, rediscover and restore their families against family dissolution. The film promotes the expansion of family community through multicultural identity, and the film completes condolence of the people left behind by having the remaining families survive as survivors of suicide. The storyworld of the novels puts emphasis on 'self-discovery' of individual adolescents, while the storyworld of the movies puts emphasis on 'rediscovery of family'. Through transformation of storytelling - especially the redesigning of narrative structures called "modification" - transmedia storytelling shows that the relationship between media-converted texts is far from "faithful representation," but rather, shows conflicting themes and perspectives. With a reference point of 'the emergence of character' transmedia storytelling, which is predicated on the original work but aims to free itself from the original work by transforming storytelling through media conversion, opens up polyphonic storyworld by creating heterogeneous voices. In the post IMF-era, where uncertainty mounts over family dissolution and individualization, polyphonic storyworld created by transmedia storytelling provides an opportunity to experience disparate desires over individual freedom/risk and complacency toward community. We can call this the cultural-political implication of transmedia storytelling based on transferring, transcednding, and transforming.

• Cartoon and Animation Studies
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• s.50
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• pp.75-99
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• 2018

Makoto Shinkai, an animated film maker in Japan, has been featured as a one-person production system and as a 'writer of light', but his 2016 release of "Your Name" was a departure from the elements that characterize his existing works. At the same time, by the combination of the traditional musubi(むすび) story, ending these, it was a big hit due to its rich narratives and attraction of open interpretation possibility. As it can be guessed from the title of this work, this work shows the encounter between the Japanese ancient language and the modern language in relation to the 'name', and presents the image that the role of the name(language) is repeatedly emphasized with various variations in events for the perfect 'encounter'. In this work, the interpretations of $Signifi\acute{e}$ for characters and objects are extended and reserved as a metaphorical role of the similarity, depending on the meaning of the subject which they touch. The relationship between words and objects analyzed through the structure of Signifiant and $Signifi\acute{e}$ is an epoch-making ideological discovery of modern times revealed through F. Saussure. Focusing on "the difference" between being this and that from the notion of Saussure, Derrida dismissed logocentrism, rationalism that fully obeyed the order of Logos. Likewise, dismissing the center, or dismissing the owner had emerged after the exclusive and closed principle of metaphysics in the west was dismissed. Derrida's definition of 'deconstruction' is a philosophical strategy that starts with the insight on the nature of language. 'Dissemination,' a metaphor that he used as a methodological concept to read texts acts as interpretation and practice (or play), but does not pursue an ultimate interpretation. His 'undecidability' does not start with infinity, but ends with infinity. The researcher testifies himself and identifies that we can't be an interpreter of the world because we, as a human are not the subject of language but a user. Derrida also interpreted the world of things composed of Signifiant and $Signifi\acute{e}$ as open texts. In this respect, this study aimed to read Makoto's works telling about the meeting of a thing and a thing with name as a guide, based on Derrida's frame of 'deconstruction' and 'dissemination.' This study intends to re-consider which relationship the Signifiant and $Signifi\acute{e}$ have with human beings who live in modern times, examine the relationship between words and objects presented in this work through Jacques Derrida's destruction and dissemination concepts, and recognize that we are merely a part of Signifiant and $Signifi\acute{e}$. Just as Taki and Mitsuha confirm the existence by asking each other, we are in the world of things, expecting musubi that a world of names calls me.

• 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.

• The Korean Society of Law and Medicine
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• v.17 no.2
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• pp.85-124
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• 2016

The Human gene testing act (GenDG) in Germany starts from the characteristic features of gene testing, i.e. dualisting structure consisted of anlaysis on the one side and the interpretation on the other side. The linguistic distincion of 'testing', 'anlaysis' and 'judgment' in the act is a fine example. Another important basis of the regulation is the ideological purpose of the law, that is information autonomy. The normative texts as such and the founding principle are the basis of the classification of testing types. Especially in the case of gene testing for medical purpose is classified into testing for diagnostic purpose and predictive purpose. However, those two types are not always clearly differentiated because the predictive value of testing is common in both types. In the legal regulation of gene testing it is therefore important to manage the uncertainty and subjectivity which are inherent in the gene-analysis and the judgment. In GenDG the system ensuring the quality of analysis is set up and GEKO(Commity for gene tisting) based on the section 23 of GenDG concretes the criterium of validity through guidelines. It is also very important in the case of gene testing for medical purpose to set up the system for ensurement of procedural rationality of the interpretation. The interpretation of the results of analysis has a wide spectrum because of the consistent development of technology on the one side and different understandings of different subjects who performs gene testings. Therefore the process should include the communication process for patients in oder that he or she could understand the meaning of gene testing and make plans of life. In GenDG the process of genetic counselling and GEKO concretes the regulation very precisely. The regulation as such in GenDG seems to be very suggestive to Korean legal polic concerning the gene testing.