• The Journal of Industrial Distribution & Business
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• v.12 no.7
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• pp.15-25
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• 2021

Purpose: The greatest asset to all organizations is the employees and they should be guarded against factors hindering their work ability. Nevertheless, most organizations are always more concerned about making profits to the extent of forgetting their employee's welfare. On this point, this study aims to examine employee's work-related stress and its relationship with work ability. Research design, data and methodology: This study focused on obtaining mostly peer-reviewed works to suggest research findings, assuming that qualitative literature approach allows researchers to explore in-depth information concerning complex issues in a standard life setting. Numerous prior researchers applied their research design in content analysis, especially where various concepts are present for analysis. Results: Based on numerous qualitative textual resources, this study found that human resource practitioners should plan stress management strategies for their employees to apply five kinds of solutions that the current study suggests because it is vital to ensure their wellbeing towards sustaining their performance. Conclusions: All in all, based on the findings, this study concludes that employee's work stress negatively impacts their work ability with affecting their mental health. As a result, there is little doubt that practitioners should regularly monitor the working environment for stress-related factors besides creating a healthy working environment for all employees.

• The Journal of Information Systems
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• v.14 no.3
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• pp.82-88
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• 2005

Much information has been hierarchically organized to facilitate information browsing, retrieval, and dissemination. In practice, much information may be entered at any time, but only a small subset of the information may be classified into some categories in a hierarchy. Therefore, achieving document filtering (DF) in the course of document classification (DC) is an essential basis to develop an information center, which classifies suitable documents into suitable categories, reducing information overload while facilitating information sharing. In this paper, we present a technique ICenter, which conducts DF and DC by recognizing the context of discussion (COD) of each document and category. Experiments on real-world data show that, through COD recognition, the performance of ICenter is significantly better. The results are of theoretical and practical significance. ICenter may server as an essential basis to develop an information center for a user community, which shares and organizes a hierarchy of textual information.

• Journal of Computing Science and Engineering
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• v.6 no.2
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• pp.168-177
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• 2012

The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients' cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.17-20
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• 2005

In this work, we compared several feature selection methods in the field of spam mail filtering. The proposed fuzzy inference method outperforms information gain and chi squared test methods as a feature selection method in terms of error rate. In the case of junk mails, since the mail body has little text information, it provides insufficient hints to distinguish spam mails from legitimate ones. To address this problem, we follow hyperlinks contained in the email body, fetch contents of a remote web page, and extract hints from both original email body and fetched web pages. A two-phase approach is applied to filter spam mails in which definite hint is used first, and then less definite textual information is used. In our experiment, the proposed two-phase method achieved an improvement of recall by 32.4% on the average over the $1^{st}$ phase or the $2^{nd}$ phase only works.

• The Journal of Information Systems
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• v.26 no.4
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.453-454
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• 2017

The travellers using social media leave their location history in the form of trajectories. These trajectories can be bridged for acquiring information, required for future recommendation for the future travelers, who are new to that location, providing all sort of information. In this paper, we propose a personalized travel path recommendation scheme based on social life log. By taking advantage of two kinds of social media such as travelogue and community contributed photos, the proposed scheme can not only be personalized to user's travel interest but also be able to recommend a travel path rather than individual Points of Interest (POIs). It also maps both user's and routes' textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season).

• Korean journal of communication and information
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• v.80
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• pp.40-114
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• 2016

This work critically explores the so-called "Hell-Chosun" phenomenon which has gained much attention and responses in contemporary South Korea. The younger generation came to coin and utilize this new linguistic expression as well as poignant parody as a way of releasing their anger, cynicism, and frustration in the context of the omnipresent fierce competitions, deepening social instability, and job-related shrinking possibilities. The 'Hell-Chosun' phenomenon can be considered as a much complicated manifestation of the structures of feeling for the part of many younger generation South Koreans. This paper especially examines the varying representation of this phenomenon by established dailies through an in-depth textual analysis of newspaper articles, opinion pieces and reviews, as well as special issues. In doing so, this work examines the multiple implications of this particular socio-cultural phenomenon in a detailed and critical fashion.

• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.47-69
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• 2005

The aim of this paper is to evaluate the text of six alternative versions of Korean fairy tale The Sun and the Moon. So the author took a textual bibliographical study of those versions in a comparative analysis of titles, backgrounds, characters. styles and functions of them. On the basis of this comparative analysis, the version of Hyo-Sun Eu was selected as a good text. In the version of Hyo-Sun Eu. if the helper In the story, King of Heaven represented in the form of Taoism would change into Heaven represented in the form of God, and the literary style change into the colloquial style, and the last scene that the Sun Brother turns to the Sun Sister and the Moon Sister to the Moon Brother would be removed, this version will be the best one.

• Korean journal of communication and information
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• v.75
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• pp.83-144
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• 2016

SBS's -also known as - is one of the most famous investigative programs in South Korean television sector. This program is well-known for its much detailed and tenacious investigation of unsolved crimes, various social wrong-doings, as well as public scandals through a mystery code and meticulous storytelling. As a result, generates much popular interests and responses from local audiences. This work both examines and contextualizes the multiple roles and implications of this program through a textual and production analysis. Especially, it critically pursues this program's achievements and limits in the context of the changing roles of investigative journalism and its unstable status at current juncture.