• (The)Study of the Eastern Classic
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• no.55
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• pp.115-145
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• 2014

In this paper, the transition of the status of Chinese novels and the change of the knowledge field in the modern times from the end of 19th century to the early 20th century, the transition period between the tradition and the modern times, have been investigated based on Liang Qichao's assertion of the Revolution of the Novel World. How the traditional novels have been evaluated, how modern novels enlightened a people and changed the political society, and what role novels acted in the change of the knowledge field are investigated. Especially I looked into the accumulations of knowledge and changes inside China which were overlooked in the previous researches which focused on the inflow of the Western culture and its impact on Chinese culture. Firstly the evaluation and classification of the traditional novels are considered. Because the transition of the status of novels and the classification method of the catalog of books are tightly coupled with the change of academic ideologies. Later I tried to understand novels as a way of thinking the modern times with a discussion on the changes of modern knowledge society and the consideration of Liang Qichao's Revolution of the Novel World in the two viewpoints, i.e. the relationship between novels and political society, and novels and the style of writing. Liang Qichao raised novels to the topmost position of literature. He pushed the traditional poetry off the top position and replaced it with popular novels. As the outside impact of Western culture made Chinese novels a tool for enlightening the ignorant people and the medium of propagating the knowledge, the status of novels was elevated to the highest level which novels had never reached in the past. With the limitation that the valuation was not based on the aesthetic appreciation of art but based on the value for politics and society, novel was a discourse of life and death to save the country and a container of knowledge to rebuild the people's mind and convert the crisis of the national ruin.

• Journal of Korean Classical Literature and Education
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• no.34
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• pp.41-74
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• 2017

This study aimed to investigate the narrative strategy and meaning of fantasy in classic novels and to derive the educational meaning from the fantasy of Sukhyangjeon. This study selected Sukhyangjeon because is considered a suitable literary text that embodies characteristics of fantasy inherent in classical novels through its successful portrayal of the fantasy genre and its high popularity during its time. Specifically, this study observed that the "notice of hardships" which repeatedly appears in the narration of Sukhyangjeon reinforces the fantasy of the novel as it serves as an advance notice of intervention from heaven. Therefore, this study investigated the relationship between the notice of hardships and fantasy by focusing on Sukhyang's life. The way in which the "notice of hardships" is a form of illusion realized it evident in the plot when heaven saves Sukhyang from her hardship even though it was heaven that had granted her those forms of hardship. Firstly, the "notice from heaven" constitutes the macro structure of Sukhyangjeon. Through it, readers realize the enormous power of heaven by seeing how Sukhyang's life has been realized in accordance with heaven's notice with that, it evokes a sense of respect to heaven. In addition, heaven saves Sukhyang from different forms of danger. It enhances a miraculous feeling, which the omnipotent power of heaven shows, against the innocent appearance of Sukhyang during her times of danger. Meanwhile, when heaven notifies Sukhyang and the surrounding people of their fate and subsequently realizes it through dreams, this act creates a mysterious atmosphere and improves the probability of the narrative. If so, the narrative meaning in reinforcing the fantasy of the novel by the use of "notice of hardships" could be revealed through Sukhyang's real life. First, the hardship in which Sukhyang has gone through is so realistic and detailed that the readers' feelings of empathy are evoked with the fear of the coming hardship, wailing together, and trying to resolve the inner anxiety through Sukhyang's happiness. Second, the heavenly beings who are touched by the good behaviors of Sukhyang save her from the dangers of death. This creates the belief in readers that heaven intervenes for the good people. Third, the active attitude that Sukhyang and Leesun show in the process of marriage helps them overcome their earthly hardship and preserve their relationship in heaven. This gives readers hope that they could go to a "higher life" after going through suffering. This fantasy of Sukhyangjeon helps readers overcome their anxieties of reality through fantasy and recognizes the importance of relationships to enhance a sense of unity and solidarity with others. Because of these elements, it is expected that the fantasy of Sukhyangjeon will have a meaningful value to modern readers.

• Cross-Cultural Studies
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• v.48
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• pp.67-106
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• 2017

This study focuses on two specific history of Korean literature in Chinese: the outline of The History of Joseon Literature (2010) by Li Yan and The History of Joseon Literature (1988, 2008) by Wei Xu-sheng; it was conducted to compare narrative viewpoints to the history of South and North Korean literature and therefore identify distinguishable characteristics. As a result, the following was concluded. First, The History of Korean Literature by Cho Dong-il and The History of Korean Literature in North Korea (15 volumes) include thorough discussions on division of historical eras, concept of genres as well as individual literary works and applied such discussions on writing literary history. However, Wei Xu-sheng and Li Yan's The History of Korean Literature did not illuminate theoretical discussion of South and North Korea. Li Yan's outline of The History of Joseon Literature was published in 2010 and the first edition of Wei Xu-sheng's The History of Joseon Literature was published in 1986 and later was published as revised editions in 2000 and 2008. Regarding published dates, it is a matter of course to reference Cho Dong-il's The History of Korean Literature, published in the 1980s, or The History of Korean Literature in North Korea (15 volumes), published in the 1990s; nevertheless, neither Wei Xu-sheng nor Li Yan used those texts in their works. Their works were heavily influenced by the narrative tradition of the history of national literature and therefore, entailed unsophisticated discussion on the division of historical eras or the concept of genres. Second, those two texts also emphasized external factors such as politics, society, economy and culture and explicitly mention these factors in historical overview of each chapter. Such an approach is commonly used in narratives of literary history under socialist regimes, including The History of Korean Literature in North Korea (15 volumes). Accordingly, evaluations based on 'political standards' - stress of people, nationality, practicality and so forth - in main texts are particularly accentuated, akin to narratives of literary history under socialist regimes. Finally, since those two Korean literature history works are written by Chinese scholars, they focus on correlation between Chinese literature history and Korean literature history. However, several genre-related terminologies such as Xiaopin (a kind of essay), Yuefu (a kind of popular song/poem), Yuyan (fable), Shuochang (telling of popular stories with the interspersal songs), Shizhuan (biography or/and memoirs in history) were adopted directly from Chinese literature. In analyzing Korean literature using terminologies introduced from Chinese literature, differences between original and alternative definitions were not examined in detail. While some terminologies and concepts were adopted directly without further consideration as to state of the two nations, it is also interesting to note that dichotomy, mainly used in Korean literature history, was used to discuss the genre of Cheonki (romance tale), relevant to Suyichon and Keumosinhua, rather than follow traditions of Chinese literature history.

• The Journal of Korean Philosophical History
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• no.31
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• pp.241-262
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• 2011

In this paper we show how the perception of heavenly principle(天理) and definition of individual desires(私慾) in the five commentaries on Daodejing(道德經) was changed over time. The five commentaries on Daodejing(道德經) composed during $Chos{\breve{o}}n$ are 'Sooneon(醇言) by Lee, Yul-gock (李珥,1536~1584), 'SinJoo-DoDuckKyung (新註道德經) - or New Commentary on Daodejing(道德經) - by Park, Se-dang(朴世堂,1629~1703), 'Dodukjigi(道德指歸)' by Suh, Myoung-euing(徐命膺,1716~1787), 'Chowondamro (椒園談老)' by Lee, Chung-ik(李忠翊,1744~1816), and 'Jungro(訂老)' by Hong, Suk-joo (洪奭周,1774~1842). The course of history in understanding the book, "Daodejing(道德經)," demonstrated that by the late of $Chos{\breve{o}}n$ Dynasty in the 18th century, the notion of 'the moral law for the community' has changed. Neither Suh, Myoung-euing nor Lee, Chung-ik emphasized 'the necessity for the truth of the heavens.'Instead, they focused more on the 'individuals' who followed the moral law than the moral law itself. They did not see the individual desire as the object that had to be discarded. Within the context of this framework, the individual's role had changed from the person who had to be obedient to the law to the subject who judged the moral law all by him/herself. This process of breaking up 'the goodness of the community' led the $Chos{\breve{o}}n$ Dynasty of the 18th century in the transition period to the modern era. In other words, it was the time when the introspection of the 'moral law' prevailed in the $Chos{\breve{o}}n$ Dynasty occurred naturally and spontaneously among the Confucian scholars, which implied the reconceptualization of the 'self-awareness' or 'the point of view on the individual's self-desire' was occurred in the context of academic development during the late $Chos{\breve{o}}n$ Dynasty.

• Journal of Popular Narrative
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• v.25 no.4
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• pp.191-221
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• 2019

This study aims to analyze the post-humanistic imagination that has emerged as a major academic thesis in Korean literature, especially novels. In particular, this paper focuses on Cho Ha-hyung's two novels Chimera's Morning(2004) and A Prefabricated Bodhi Tree(2008), published in the early 2000s, for intensive analysis. Post-humanism can be seen as an extension of post-modernism that tried to overcome the limitations of modernity and seek to establish a new world view. In particular, this thought pays attention to the comprehensive understanding of how the rapid development of science and technology, which has developed since the 20th century, has changed the view of humanity and human-centered civilization itself. At the concrete level, it is developing in the direction of constructing a new subject idea by reflecting and dismantling Western-, reason-, and male-centered power mechanisms that are the core of modern civilization. Cho attempts to discover and re-illuminate the surrounding figures, non-humans, and objects that were not noticed in the classic works written in the past. This ideological flow reflects the fact that the concept of human beings, which had been dominated by the humanities in recent years, has been completely changed, and the natural science and technology perspective is applied to the discourse field in various ways. From the point of view of post-humanism, objects that have not been classified as humans and objects that were considered inferior to humans should be included in human or comparable levels. These questions generate interdisciplinary research tasks by involving the large categories of philosophy, such as ontology, epistemology and empirical fields, as well as calling for the participation of the entire literature, science and social sciences. Against the backdrop of a disaster-hit world, Chimera's Morning and A Prefabricated Bodhi Tree depict human beings as variants transformed by bio-technology, and creatures made out of the artificial intelligence built by computer simulations. Post-humanistic ideas in Cho's novels provide a reflective opportunity to comprehensively reconsider the world's shape and human identity reproduced in the text, and to re-explore boundary lines and hierarchy order that distinguish between human and non-human.

• Communications of Mathematical Education
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• v.37 no.2
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• pp.233-256
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• 2023

This study conducted foundational research to derive ways to use ChatGPT in mathematics education by analyzing ChatGPT's responses to questions from the National Assessment of Educational Achievement (NAEA) and the College Scholastic Ability Test (CSAT). ChatGPT, a generative artificial intelligence model, has gained attention in various fields, and there is a growing demand for its use in education as the number of users rapidly increases. To the best of our knowledge, there are very few reported cases of educational studies utilizing ChatGPT. In this study, we analyzed ChatGPT 3.5 responses to questions from the three-year National Assessment of Educational Achievement and the College Scholastic Ability Test, categorizing them based on the percentage of correct answers, the accuracy of the solution process, and types of errors. The correct answer rates for ChatGPT in the National Assessment of Educational Achievement and the College Scholastic Ability Test questions were 37.1% and 15.97%, respectively. The accuracy of ChatGPT's solution process was calculated as 3.44 for the National Assessment of Educational Achievement and 2.49 for the College Scholastic Ability Test. Errors in solving math problems with ChatGPT were classified into procedural and functional errors. Procedural errors referred to mistakes in connecting expressions to the next step or in calculations, while functional errors were related to how ChatGPT recognized, judged, and outputted text. This analysis suggests that relying solely on the percentage of correct answers should not be the criterion for assessing ChatGPT's mathematical performance, but rather a combination of the accuracy of the solution process and types of errors should be considered.

• The Korean Journal of Archival Studies
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• no.81
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• pp.5-44
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• 2024

This paper is an experience and observation report on the activities of Jeonju citizens, who are 'kleine leutes'. Text or Born-digital materials such as diaries, group chat rooms, memos, and interviews showing citizens' contemporary and daily history (Alltagsgeschichite) were used for this purpose. These civic groups are reading groups we can find easily and they also enjoy walking, hiking, and movies, and so to speak ordinary local people are their members. One team read Choi Myung-hee's "Honbul" for about a year and a half, while another team read several books under the theme of "commons," and enjoyed exploring, exhibiting, or watching movies together. The main text is composed of three parts. First, I looked at the methods and perspectives to examine the daily life of local people. To this end, the views of Detlev Peukert and Alf Lüdtke, who captured the prospects and the possibilities of theories of daily history, and James C. Scott, who provided insight into infra-politics, were reviewed. This work was to find the perspective and method of daily history research that could observe the activities of Jeonju citizens. Second, we looked at the experience of the "Honbool" meeting. The reading of "Honbool" which took place during the period of confrontation with Covid19 began in connection with its intense locality. As the criticism of "a great writer born in our local land" relieved the uncomfortable feelings, the members' critical mind was revealed after Volume3 of "Honbool" and stood out after Volume6. It seemed to show the characteristics of the self-consciousness (Eigensinn) of citizens who choose dynamics rather than being stuck to a specific form of empathy (Betroffenheit). I think it showed the difficulty and hope to face in the description and research of local history at the same time. Third, I observed citizens who gathered on the subject of public land. This meeting showed the actuality and accumulation process of the infra-political capabilities of citizens in Jeonju. Reading-commons did not suffer from 'heart trouble' as a local citizen compared to "Honbool". Rather, the difficulty of related books was an obstacle, and the difficulty was easily resolved. As the meeting progressed, awareness of the commons became more sophisticated and issues and discussions were independently shared with each other, and a wealth of hidden transcripts were accumulated through its practice and problem consciousness. It is difficult to think about modern daily life apart from the capitalist era. More fundamentally, it is here and now in everyday life that humans enjoy or suffer from. All history passes through my body here and now. This is the universality of daily history. It depends on the ability of citizens to create daily history to experience and at the same time maintain the distance of criticism.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.1-19
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• 2018

Large amount of data is now available for research and business sectors to extract knowledge from it. This data can be in the form of unstructured data such as audio, text, and image data and can be analyzed by deep learning methodology. Deep learning is now widely used for various estimation, classification, and prediction problems. Especially, fashion business adopts deep learning techniques for apparel recognition, apparel search and retrieval engine, and automatic product recommendation. The core model of these applications is the image classification using Convolutional Neural Networks (CNN). CNN is made up of neurons which learn parameters such as weights while inputs come through and reach outputs. CNN has layer structure which is best suited for image classification as it is comprised of convolutional layer for generating feature maps, pooling layer for reducing the dimensionality of feature maps, and fully-connected layer for classifying the extracted features. However, most of the classification models have been trained using online product image, which is taken under controlled situation such as apparel image itself or professional model wearing apparel. This image may not be an effective way to train the classification model considering the situation when one might want to classify street fashion image or walking image, which is taken in uncontrolled situation and involves people's movement and unexpected pose. Therefore, we propose to train the model with runway apparel image dataset which captures mobility. This will allow the classification model to be trained with far more variable data and enhance the adaptation with diverse query image. To achieve both convergence and generalization of the model, we apply Transfer Learning on our training network. As Transfer Learning in CNN is composed of pre-training and fine-tuning stages, we divide the training step into two. First, we pre-train our architecture with large-scale dataset, ImageNet dataset, which consists of 1.2 million images with 1000 categories including animals, plants, activities, materials, instrumentations, scenes, and foods. We use GoogLeNet for our main architecture as it has achieved great accuracy with efficiency in ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Second, we fine-tune the network with our own runway image dataset. For the runway image dataset, we could not find any previously and publicly made dataset, so we collect the dataset from Google Image Search attaining 2426 images of 32 major fashion brands including Anna Molinari, Balenciaga, Balmain, Brioni, Burberry, Celine, Chanel, Chloe, Christian Dior, Cividini, Dolce and Gabbana, Emilio Pucci, Ermenegildo, Fendi, Giuliana Teso, Gucci, Issey Miyake, Kenzo, Leonard, Louis Vuitton, Marc Jacobs, Marni, Max Mara, Missoni, Moschino, Ralph Lauren, Roberto Cavalli, Sonia Rykiel, Stella McCartney, Valentino, Versace, and Yve Saint Laurent. We perform 10-folded experiments to consider the random generation of training data, and our proposed model has achieved accuracy of 67.2% on final test. Our research suggests several advantages over previous related studies as to our best knowledge, there haven't been any previous studies which trained the network for apparel image classification based on runway image dataset. We suggest the idea of training model with image capturing all the possible postures, which is denoted as mobility, by using our own runway apparel image dataset. Moreover, by applying Transfer Learning and using checkpoint and parameters provided by Tensorflow Slim, we could save time spent on training the classification model as taking 6 minutes per experiment to train the classifier. This model can be used in many business applications where the query image can be runway image, product image, or street fashion image. To be specific, runway query image can be used for mobile application service during fashion week to facilitate brand search, street style query image can be classified during fashion editorial task to classify and label the brand or style, and website query image can be processed by e-commerce multi-complex service providing item information or recommending similar item.