• Journal of Information Processing Systems
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• v.8 no.4
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• pp.721-738
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• 2012

The Internet has become an increasingly important source for finding the right employees, so more and more companies post their job openings on the Web. The large amount and dynamic nature of career recruiting information causes information overload problems for job seekers. To assist Internet users in searching for the right job, a range of research and commercial systems were developed over the past 10 years. Surprisingly, the majority of existing job search systems support just one, rarely two ways of information access. In contrast, our work focused on exploring a value of comprehensive access to job information in a single system (i.e., a system which supports multiple ways). We designed Proactive, a recommendation system providing comprehensive and personalized information access. To assist the varied needs of users, Proactive has four information retrieval methods - a navigable list of jobs, keyword-based search, implicit preference-based recommendations, and explicit preference-based recommendations. This paper introduces the Proactive and reports the results of a study focusing on the experimental evaluation of these methods. The goal of the study was to assess whether all of the methods are necessary for users to find relevant jobs and to what extent different methods can meet different users' information requirements.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.4
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• pp.116-129
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• 2019

Objectives : The purpose of this study is to analyze the trend of Korean medical treatments on nummular eczema. Methods : Based on OASIS, NDSL, RISS, KTKP, KISS, KCI with the keyword 'Nummular Eczema'. published in 2000-2019.08.31, total 11 studies have been found and analyzed. Results : Among 11 studies, 21 cases were selected. Herb medicine, acupuncture, pharmacopuncture, externals, other treatments were used as treatment for nummular eczema. All of research which selected have reported that the Korean medical treatment was effective. Conclusions : According to the results, Korean medical treatments can be effective treatment for nummular eczema. Further clinical studies are expected using evaluation methods to analyze the results and to establish high level of evidence.

• The Journal of Pediatrics of Korean Medicine
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• v.35 no.3
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• pp.28-42
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• 2021

Objectives The purpose of this study is to investigate the effect of Tuina treatment for children with Autism Spectrum Disorder (ASD), and to propose guidance to future studies or application in clinical setting. Methods The articles published from year 2000 to May 2021 by China National Knowledge Infrastructure (CNKI) were searched by setting up field as '中醫學', '中藥', '中西醫結合' and by setting up keyword as '小儿自閉症', '儿童自閉症', '自閉症譜系障碍', 'Autism', 'Autism spectrum disorder' that corresponds to participant and '推拿', '導引', '按摩', 'Tuina', 'massage'. Results Nine selected articles were analyzed and summarized by authors and year published, characteristics, diagnostic criteria, treatment methods and contents, treatment duration, evaluation criteria and results of the study. The articles were also reviewed by reported side effects, and evaluated the quality of the study according to Cochrane Handbook's Risk of Bias 2 (RoB 2) assessment of the Randomized Control Trial (RCT) articles. All studies used Tuina treatment to achieve effective results for pediatric autism spectrum disorder. Conclusion Pediatric Tuina treatment (TM) is a non-invasive treatment that does not stimulate patients with unstable ASD but increase patient adherence, and can be safely and simply operated. Therefore, pediatric Tuina treatment is worth utilizing as a clinical basis for further development of ASD treatment.

• The Journal of Economics, Marketing and Management
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• v.10 no.3
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• pp.21-36
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• 2022

Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

• Journal of Creative Information Culture
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• v.5 no.2
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• pp.145-156
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• 2019

In this study, we have developed and evaluated an information extracting module based on the named entity recognition technique. For the given purpose in this paper, the module was designed to apply to the problem dealing with extraction of postal address information from arbitrary documents without any prior knowledge on the document layout. From the perspective of information technique practice, our approach can be said as a probabilistic n-gram (bi- or tri-gram) method which is a generalized technique compared with a uni-gram based keyword matching. It is the main difference between our approach and the conventional methods adopted in natural language processing that applying sentence detection, tokenization, and POS tagging recursively rather than applying the models sequentially. The test results with approximately two thousands documents are presented at this paper.

• Journal of Distribution Science
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• v.21 no.7
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• pp.1-9
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• 2023

Purpose: This study aims to understand if heterogeneous news is evenly consumed and distributed on portals as it examines people's news use and engagement behaviors and news credibility. Focusing on the four behaviors of news use, i.e., viewing news by keyword search, viewing news from subscribed sources, viewing news from the list of most-viewed news, and reading comments, and the three behaviors of news engagement, i.e., sharing news, 'liking' or 'recommending' news, and posting comments, this study investigates the relation between each of the behaviors and portal news credibility. Research design, data and methodology: From 2022 News Audience Survey in Korea, this study conducts a regression analysis to investigate the relations between each behavior and news credibility. Results: The results show a positive relation for the former two news use behaviors and the latter two news engagement behaviors, and a negative relation for the latter two news use behaviors. Conclusions: The positive relations between active news use and engagement behaviors and portal news credibility indicate that news consumers are more likely to use and engage in attitude-consistent news rather than attitude-challenging news, implying that heterogeneous news is less likely to be consumed and distributed evenly on portals across all news users.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.2
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• pp.29-42
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• 2024

As a global response to climate and biodiversity challenges, there is an emphasis on the conservation and restoration of ecosystems that can simultaneously reduce carbon emissions and enhance biodiversity. This study comprised a text analysis and keyword extraction of 1,100 research papers addressing nature restoration in Korea, aiming to provide a quantative and systematic evaluation of domestic research trends in this field. To discern the major research topics of these papers, topic modeling was applied and correlations were established through network analysis. Research on nature restoration exhibited a mainly upward trend in 2002-2022 but with a slight recent decline. The most common keywords were "species," "forest," and "water". Research topics were broadly classified into (1) predictions of habitat size and species distribution, (2) the conservation and utilization of natural resources in urban areas, (3) ecosystems and landscape managements in protected areas, (4) the planting and growth of vegetation, and (5) habitat formation methods. The number of studies on nature restoration are increasing across various domains in Korea, with each domain experiencing professional development.

• Journal of Korean society of Dental Hygiene
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• v.23 no.6
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• pp.423-429
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• 2023

Objectives: The study aimed to assess the form, reliability, and quality of information related to periodontal diseases shared on YouTube. Methods: On october 23, 2023, we conducted searches on YouTube using four keywords related to periodontal diseases. The searches retrieved a total of 394 videos from the first five pages for each keyword. Of these, 151 were included in the analysis. Videos were categorized based on the source and usefulness of the information, and their reliability and quality were assessed. Results: Analysis of the information sources revealed that medical websites or TV channels (45.7%) were the most prevalent, whereas commercial websites (2.0%) were the least prevalent. Videos uploaded by physician or hospitals (3.08±0.48) and medical websites or TV channels (3.01±0.94) demonstrated higher reliability. Videos categorized as having good and excellent quality were predominantly from physician or hospital sources (88.2%). Useful information related to periodontal diseases was available in 85.4% of videos, with physician or hospital sources contributing the highest proportion of useful information (52.7%). Conclusions: Videos from physician or hospital sources provide high-quality useful and reliable information. To ensure the provision of more useful and accurate information, the involvement and interest of experts are deemed essential.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.21-29
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• 2024

Fueled by international efforts towards AI standardization, including those by the European Commission, the United States, and international organizations, this study introduces a AI-driven framework for analyzing advancements in drone technology. Utilizing project data retrieved from the NTIS DB via the "drone" keyword, the framework employs a diverse toolkit of supervised learning methods (Keras MLP, XGboost, LightGBM, and CatBoost) enhanced by BERTopic (natural language analysis tool). This multifaceted approach ensures both comprehensive data quality evaluation and in-depth structural analysis of documents. Furthermore, a 6T-based classification method refines non-applicable data for year-on-year AI analysis, demonstrably improving accuracy as measured by accuracy metric. Utilizing AI's power, including GPT-4, this research unveils year-on-year trends in emerging keywords and employs them to generate detailed summaries, enabling efficient processing of large text datasets and offering an AI analysis system applicable to policy domains. Notably, this study not only advances methodologies aligned with AI Act standards but also lays the groundwork for responsible AI implementation through analysis of government research and development investments.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.247-259
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• 2024

This study assessed the effectiveness of brand image communication on consumer perceptions of cruelty-free fashion brands. Brand messaging data were gathered from postings on the official Instagram accounts of three cruelty-free fashion brands and consumer perception data were gathered from Tweets containing keywords related to each brand. Web crawling and natural language processing were performed using Python and sentiment analysis was conducted using the BERT model. By analyzing Instagram content from Stella McCartney, Patagonia, and Freitag from their inception until 2021, this study found these brands all emphasize environmental aspects but with differing focuses: Stella McCartney on ecological conservation, Patagonia on an active outdoor image, and Freitag on upcycled products. Keyword analysis further indicated consumers perceive these brands in line with their brand messaging: Stella McCartney as high-end and eco-friendly, Patagonia as active and environmentally conscious, and Freitag as centered on recycling. Results based on the assessment of the alignment between brand-driven images and consumer-perceived images and the sentiment evaluation of the brand confirmed the outcomes of brand communication performance. The study revealed a correlation between brand image and positive consumer evaluations, indicating that higher alignment of ethical values leads to more positive consumer assessments. Given that consumers tend to prioritize search keywords over brand concepts, it's important for brands to focus on using visual imagery and promotions to effectively convey brand communication information. These findings highlight the importance of brand communication by emphasizing the connection between ethical brand images and consumer perceptions.