• English Language & Literature Teaching
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• v.10 no.3
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• pp.89-112
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• 2004

This article examines the ways in which language can be exploited in the manipulation of the reader's interpretation of a text to make him/her take certain lines of thought according to the writer's persuasive intents. Such functions of language provide valid foundations to support the teaching of critical reading skills and to explore an adequate approach to discourse analysis. A pilot study was conducted to find out the extent to which the reader can be coaxed into thinking in some fashions guided by specific linguistic devices employed for ideological texts. Forty-seven subjects divided into two groups (humanities majors and natural science majors at undergraduate level) joined the two-fold questionnaire surveys intended to look at their critical reading abilities. The empirical results indicate that college students whose majors are humanities were more inclined to take a holistic approach in processing commercial advertisement texts and their abilities for critical interpretation appeared to be lower than those of the subjects whose majors are natural sciences, who showed a relatively high tendency to take an analytical approach in decoding the textual facts. As a consequence, pedagogic implications for increasing critical reading abilities have resulted in a set of analytical procedures concerning ideological texts which is linked with instructional guidelines to emphasize the importance of the reader's logical and analytical reasoning power, entirely accepted as a general prerequisite for cracking the covert language gambits.

• Journal of architectural history
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• v.21 no.1
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• pp.47-63
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• 2012

This research aims to demonstrate the sociocultural significance of architectural journals produced in the 1970s during which a fundamental reconsideration of architectural discipline has been made. To this end, we established a method of analysis adapted to the characteristics of architectural journals of that period. In this formulation, the relative autonomy of architectural journal with regard to various actors and institutions involved in its production emerged as a major criterion for the analysis of a journal. From this methodological reflection, we analyzed two French architectural journals, AMC published between 1973 and 1981 and l'Architecture d'Aujourd'hui between 1974 and 1977, which were produced both in close relation with parisian architectural schools (UPA) in the context of reestablishment of architectural education and beginning of architectural research in France after the events of May 1968. If these journals reflected and strengthened the architectural reality and especially the social network of their protagonists, it is equally important to note that they have transformed it into cultural network, and this by the mechanism proper to their preparation and their textual organization.

• Journal of Korea Multimedia Society
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• v.20 no.4
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• pp.704-712
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• 2017

Various researches on content sensibility with the development of digital contents are under way. Emotional research on fonts is also underway in various fields. There is a requirement to use the content expressions in the same way as the content, and to use the font emotion and the textual sensibility of the text in harmony. But it is impossible to select a proper font emotion in Korea because each of more than 6,000 fonts has a certain emotion. In this paper, we analysed emotional classification attributes and constructed the Hangul font recommendation system. Also we verified the credibility and validity of the attributes themselves in order to apply to Korea Hangul fonts. After then, we tested whether general users can find a proper font in a commercial font set through this emotional recommendation system. As a result, when users want to express their emotions in sentences more visually, they can get a recommendation of a Hangul font having a desired emotion by utilizing font-based emotion attribute values collected through the crowdsourced method.

• The KIPS Transactions:PartB
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• v.19B no.2
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• pp.135-148
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• 2012

This paper proposes a model for recognizing sentential paraphrases through Predicate-Argument Tuple (PAT)-based approximate alignment between two texts. We cast the paraphrase recognition problem as a binary classification by defining and applying various alignment features which could effectively express the semantic relatedness between two sentences. Experiment confirmed the potential of our approach and error analysis revealed various paraphrase patterns not being solved by our system, which can help us devise methods for further performance improvement.

• Fashion, Industry and Education
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• v.15 no.2
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• pp.1-10
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• 2017

The purposes of this study were to explore (1) how fit reviews differ among height groups and (2) how overall numerical ratings differ depending on height groups and ifferent types of fit reviews. Content analysis was used to analyze systematically sampled online consumer reviews (OCRs) of formalwear dresses rented online. In part 1, 201 OCRs were analyzed to develop the coding scheme, which included three aspects of fit (physical, aesthetic, and functional), valence (negative, neutral, positive), and overall numerical rating. In part 2, 600 OCRs were coded and statistically analyzed. Differences in frequency were not found among height groups for any types of mentions (negative, neutral, and positive) in terms of the three aspects of fit in the OCRs. Differences in overall mean ratings were not found among height groups. Interestingly, valence of each aspect of fit reviews affected mean numeric ratings. This study is new in examining relationships among textual information (i.e., fit reviews), numerical information (i.e., numerical rating), and reviewer's characteristic (i.e., height). The results of this study offered practical implications for etailers and marketers that they should pay attention to the three aspects of fit reviews and monitor garments with negative fit evaluations for lower ratings. They may attempt to increase ratings by providing customers recommendations to get a better fit.

• The Journal of Korean Medical History
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• v.29 no.1
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• pp.55-69
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• 2016

This study examined the bibliographical characteristics of Hyangyak Jipseongbang that was compiled in the $15^{th}$ century (1433) and continued to publish throughout the early period of Joseon Dynasty. Various existing records and the early Joseon printed edition of Hyangyak Jipseongbang stored in a domestic Sancheong Korean Medicine Museum were reviewed from 3 perspectives as follows. First, it is the bibliographical system approach to Hyangyak Jipseongbang for some circumstances related to its compilation and publication. Second, it is the significance in terms of printing history through the analysis of bibliographical characteristics and the status of the remaining Hyangyak Jipseongbang. Particularly, the period of publication is an important factor to determine the value of a book. In this respect, most of the extant early-Joseon editions of Hyangyak Jipseongbang seem to have been published during the ruling years of King Sung Jong. Those editions are expected to have distinctive meaning from other copied editions of the $17^{th}$ century. Last, it is bibliographical orignal analysis of Hyangyak Jipseongbang. This study reviewed the contents and composition of Vol. 49 through 51 of Hyangyak Jipseongbang stored in Sancheong Korean Medicine Museum in an attempt to help understand the textual bibliography and composition system of exhibiting editions.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.4
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• pp.55-64
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• 2022

Purpose - Corporate reading management requires employees capable of doing their job since employee performance is crucial to the firm's profitability. The objective of this study was to evaluate the positive effects of corporate reading management on employee management. It focuses on factors increasing employee productivity and the impacts corporate management brings about on the overall productivity of any kind of company. Research design, Data, and methodology - The current authors have investigated and conducted the qualitative content analysis (QCA) to obtain the adequate textual dataset in the prior and current literature. One of the primary benefits of doing research using content analysis is that it enables the researcher to employ a combination of qualitative and quantitative research methodologies. Result - Based on the review of the prior literature, the present authors found that there are four corporate reading management solutions to improve employee performance, following those instructions - A. Increased Motivation and Productivity, B. Employee Development, C. Businesses' Objective Alignment, and D. Improved Work Environment. Conclusion - This study addressed and figured out different factors that reading corporate can apply to influence employee performance, thus increasing the company's productivity. Future research should evaluate the adverse effects businesses might face from unfavorable working environments. The research also needed to address how ethics influences employee performance.

• The Journal of Economics, Marketing and Management
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• v.9 no.1
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• pp.1-14
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• 2021

Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.

• Journal of Distribution Science
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• v.20 no.7
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• pp.107-117
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• 2022

Purpose: The scope of forensic investigations serves to identify malicious activities, including leakage of crucial corporate information. The investigations also identify security lapses in available networks. The purpose of the present study is to explore how to block distribution channels to protect illegal leakage in supply chain through digital forensic method. Research design, data and methodology: The present study conducted the qualitative textual analysis and its data collection process entails five steps: identifying and collecting data, determining coding categories, coding the content, checking validity and reliability, and analyzing and presenting the results. This methodology is a significant research method due to its high quality of previous resources. Results: Applying previous literature analysis to the results of this study, the author figured out that there are four solutions as an evidences to block distribution channels, preventing illegal leakage regarding company information. The following subtitles show clear solutions: (1) Communicate with Stakeholders, (2) Preventing and addressing illegal leakage, (3) Victims of Data Breach, (4) Focusing Solely on Technical Teams. Conclusion: There are difficult scenarios that continue to introduce difficult questions surrounding engagement with digital evidence. Consequently, it is important to enhance data handling to provide answers for organizations that suffer due to illegal leakages of sensitive information.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.242-248
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• 2022

The article presents the analysis of modern methods of automatic comparison of original and unoriginal text to detect textual plagiarism. The study covers two types of plagiarism - literal, when plagiarists directly make exact copying of the text without changing anything, and intelligent, using more sophisticated techniques, which are harder to detect due to the text manipulation, like words and signs replacement. Standard techniques related to extrinsic detection are string-based, vector space and semantic-based. The first, most common and most successful target models for detecting literal plagiarism - N-gram and Vector Space are analyzed, and their advantages and disadvantages are evaluated. The most effective target models that allow detecting intelligent plagiarism, particularly identifying paraphrases by measuring the semantic similarity of short components of the text, are investigated. Models using neural network architecture and based on natural language sentence matching approaches such as Densely Interactive Inference Network (DIIN), Bilateral Multi-Perspective Matching (BiMPM) and Bidirectional Encoder Representations from Transformers (BERT) and its family of models are considered. The progress in improving plagiarism detection systems, techniques and related models is summarized. Relevant and urgent problems that remain unresolved in detecting intelligent plagiarism - effective recognition of unoriginal ideas and qualitatively paraphrased text - are outlined.