• The Journal of Information Systems
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• v.29 no.4
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• pp.171-191
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• 2020

Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.

• Smart Media Journal
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• v.12 no.11
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• pp.185-197
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• 2023

This study was conducted using text mining and network theory to extract useful information for application for occupancy and performance of permit tasks contained in the permit contents from the permit register, which is used only for the simple purpose of recording occupancy permit information. Based on text mining, we analyzed and compared the frequency of vocabulary occurrence and topic modeling in five regions, including Seoul, Gyeonggi, Gyeongsang, Jeolla, Chungcheong, and Gangwon, as well as normalization processes such as stopword removal and morpheme analysis. By applying four types of centrality algorithms, including stage, proximity, mediation, and eigenvector, which are widely used in network theory, we looked at keywords that are in a central position or act as an intermediary in the network. Through a comprehensive analysis of vocabulary appearance frequency, topic modeling, and network centrality, it was found that the 'installation' keyword was the most influential in all regions. This is believed to be the result of the Ministry of Environment's permit management office issuing many permits for constructing facilities or installing structures. In addition, it was found that keywords related to road facilities, flood control facilities, underground facilities, power/communication facilities, sports/park facilities, etc. were at a central position or played a role as an intermediary in topic modeling and networks. Most of the keywords appeared to have a Zipf's law statistical distribution with low frequency of occurrence and low distribution ratio.

• Journal of English Language & Literature
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• v.57 no.2
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• pp.217-235
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• 2011

On recognizing the significance of Walter Benjamin's "The Task of a Translator" in recent discourses of postcolonial cultural translation, this essay examines the creative postcolonialist appropriations of Benjamin's theory of translation and their political implications. In an effort to dismantle the imperialist political hierarchy between the West and the non-West, modernity and its "primitive" others, which has been the operative premise of the traditional translation studies and anthropology, newly emergent discourses of cultural translation actively adopts Benjamin's notion of translation that does not prioritize the original text's claim on authenticity. Benjamin theorizes each text-translation as well as the original-as an incomplete representation of the pure language. Eschewing formalistic views propounded by deconstructionist critics like Paul de Man, who tend to regard Benjamin's notion of the untranslatable purely in terms of the failure inherent in the language system per se, such postcolonialist critics as Tejaswini Niranjana, Rey Chow, and Homi Bhabha, each in his/her unique way, recuperate the significatory potential of historicity embedded in Benjamin's text. Their further appropriation of the concept of the "untranslatable" depends on a radically political turn that, instead of focusing on the failure of translation, salvages historical as well as cultural potentiality that lies between disparate cultural entities, signifying differences, or disjunctures, that do not easily render themselves to existing systems of representation. It may therefore be concluded that postcolonial discourses on cultural translation of Niranhana, Chow, and Bhabha, inspired by Benjamin, each translate the latter's theory into highly politicized understandings of translation, and this leads to an extensive rethinking of the act of translation itself to include all forms of cultural exchange and communicative activities between cultures. The disjunctures between these discourses and Benjamin's text, in that sense, enable them to form a sort of theoretical constellation, which aspires to an impossible yet necessary utopian ideal of critical thinking.

• The Journal of Korean Medical History
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• v.17 no.2
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• pp.3-25
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• 2004

This study is aimed at grouping the academic lines of Korean Oriental Medicine into academic schools. The standard that can be used to classify the academic schools of Korean Oriental Medicine is first of all, identical theory; secondly, similar trend in compiling medical text; and thirdly, having the same individual body of theory. In this paper, based on these three criterion, the lines have been divided into 15 academic schools.

• Journal of Korean Medical classics
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• v.31 no.4
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• pp.27-46
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• 2018

Objectives : In this paper, we investigated the applicability of text mining to Korean Medical Classics and suggest that researchers of Medical Classics utilize this methodology. Methods : We applied text mining to the Huangdi's internal classic, a seminal text of Korean Medicine, and visualized networks which represent connectivity of terms and documents based on vector similarity. Then we compared this outcome to the prior knowledge generated through conventional qualitative analysis and examined whether our methodology could accurately reflect the keyword of documents, clusters of terms, and relationships between documents. Results : In the term network, we confirmed that Qi played a key role in the term network and that the theory development based on relativity between Yin and Yang was reflected. In the document network, Suwen and Lingshu are quite distinct from each other due to their differences in description form and topic. Also, Suwen showed high similarity between adjacent chapters. Conclusions : This study revealed that text mining method could yield a significant discovery which corresponds to prior knowledge about Huangdi's internal classic. Text mining can be used in a variety of research fields covering medical classics, literatures, and medical records. In addition, visualization tools can also be utilized for educational purposes.

• Journal of Information Science Theory and Practice
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• v.5 no.3
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• pp.31-47
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• 2017

The narrow-down approach, separately composed of search and classification stages, is an effective way of dealing with large-scale hierarchical text classification. Recent approaches introduce methods of incorporating global, local, and path information extracted from web taxonomies in the classification stage. Meanwhile, in the case of utilizing path information, there have been few efforts to address existing limitations and develop more sophisticated methods. In this paper, we propose an expansion method to effectively exploit category path information based on the observation that the existing method is exposed to a term mismatch problem and low discrimination power due to insufficient path information. The key idea of our method is to utilize relevant information not presented on category paths by adding more useful words. We evaluate the effectiveness of our method on state-of-the art narrow-down methods and report the results with in-depth analysis.

• Knowledge Management Research
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• v.21 no.2
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• pp.177-196
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• 2020

Since the adoption of K-IFRS(Korean International Financial Reporting Standards), the amount of financial footnotes has been increased. However, due to the stereotypical phrase and the lack of conciseness, deriving the core information from footnotes is not really easy yet. To propose a solution for this problem, this study tried financial footnote analysis for financial ratio predictions based on text-mining techniques. Using the financial statements data from 2013 to 2018, we tried to predict the earning per share (EPS) of the following quarter. We found that measured prediction errors were significantly reduced when text-mined footnotes data were jointly used. We believe this result came from the fact that discretionary financial figures, which were hardly predicted with quantitative financial data, were more correlated with footnotes texts.

• Korean Journal of Child Studies
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• v.27 no.6
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• pp.199-215
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• 2006

In this study of the documentation process, a toddler's behavior was interpreted through use of text and picture both of which are subjective representations of reality. Two teachers deconstructed and reconstructed their knowledge of a photographed toddler by first referring to scientific theories from a text. They used these theories to analyze markings drawn on paper by the toddler in the photograph. But, the theories from the text were transformed into a new theory in the documentation process of reflecting on the history of markings in different contexts. Thus, the semiotics of pictures and texts changed in addition to change in meanings. This demonstrates the variability of signs, as in the concept of "rhizome" (Deleuze and Guattari, 1999).

• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.49-63
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• 1999

The purpose of this study is to investigate whether the terms in queries are distributed according to the 2-Poisson model in the documents represented by abstract/title or full-text. In this study, retrieval experiments using Binary independence and 2-Poisson independence model, which are based on the probabilistic theory, were conducted to see if the 2-Poisson distribution of the query terms has an influence on the retrieval effectiveness, particularly of full-text information retrieval system.

• Journal of Popular Narrative
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• v.25 no.1
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• pp.193-215
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• 2019

According to ethical literary criticism, every type of literature has its text. The original definition of oral literature refers to the literature disseminated orally. Before the dissemination, the text of oral literature is stored in the human brain, which is termed as "brain text". Brain text is the textual form used before the formation of writing symbols and its application to a recording of information, and it still exists after the creation of writing symbols. Other types of texts are written text and electronic text. Brain text consists of brain concepts, which, according to different sources, can be divided into objective concepts and abstractive concepts. Brain concepts are tools for thinking while thought comes from thinking with understanding and an application of brain concepts. Brain text is the carrier of thought. The termination of the synthesis of brain concepts signifies the completion of thinking, which produces thoughts to form brain text. Brain text determines thinking and behavioral patterns that not only communicate and spread information, but also decide our ideas, thoughts, judgments, choices, actions and emotions. Brain text is also a deciding factor for our lifestyle and moral behaviors. The nature of a person's brain text determines his thoughts and actions, and most importantly determines who he is.