Earticle

본 연구는 다문화 사회로 급변하는 한국에서 공공도서관의 역할 증대 필요성에 주목하였다. 현재 도서관 의 다문화 서비스는 제도적·정책적 기반이 미비하고 개별 도서관의 자율적 시도에 머물러 구조적 한계를 보이고 있다. 이에 본 연구는 국내 도서관 다문화 서비스 연구의 흐름과 발전 양상을 체계적으로 파악하기 위해 2002년부 터 2025년까지 발표된 한국학술지인용색인(KCI) 등재 논문 409편을 분석 대상으로 삼았다. 각 논문의 초록과 저 자 키워드를 발췌하여 텍스트 마이닝 기법으로 분석하였으며, 연구 시기를 제1기(2002–2010), 제2기(2011–2018), 제3기(2019–2025)로 구분하고, 키워드 동시출현 분석, 토픽모델링(LDA), 마인드맵을 병행하여 시기별 주제와 경 향을 도출하였다. 분석 결과, 제1기에는 다문화 자료 수집과 조직 등 기술적 기반 구축, 사서 교육, 정책 연계 논 의가 나타났으며, 제2기에는 지역 특화 서비스 확산, 정책 기반 운영 전략, 문화자료 보존 및 포용성 확대가 강조 되었다. 제3기에는 인공지능, 챗봇, 메타버스 등 지능형 기술을 활용한 서비스가 본격적으로 논의되었고, 정보복지 와 문화 융합을 지향하는 연구가 활발히 진행되었다. 이러한 변화는 도서관이 단순한 정보 제공 기관을 넘어 사회 통합과 포용을 실현하는 핵심 플랫폼으로 진화하고 있음을 보여준다. 특히 정보복지 강화, 지역 맞춤형 서비스, 지 능형 융합 서비스는 미래 도서관의 핵심 발전 방향으로 제시되었다. 종합적으로 볼 때 국내 도서관 다문화 서비스 연구는 기술적 기반 구축 단계에서 출발하여 운영과 정책의 고도화를 거쳐 지능형 융합 서비스 단계로 발전해 왔 다. 따라서 향후 도서관 정책과 서비스는 이용자 중심성과 지역성을 강화하는 동시에 인공지능 등 첨단 기술을 융 합한 서비스 모델을 구축해야 한다. 이를 통해 공공도서관은 다문화 사회 속에서 포용성과 지속 가능성을 갖춘 선 도적인 사회 기관으로 자리매김할 수 있을 것이다.

This study focused on the growing importance of public libraries in Korea amid the rapid transition to a multicultural society. At present, multicultural services in libraries remain limited due to the lack of institutional and policy foundations, relying largely on individual libraries’ voluntary efforts, thereby revealing structural constraints. To address this issue, the study systematically examined the research trends and developmental trajectory of multicultural library services in Korea. A total of 409 papers indexed in the Korea Citation Index (KCI), published between 2002 and 2025, were analyzed. Abstracts and author keywords from each paper were extracted and analyzed using text mining methods. The research period was divided into three phases: Phase 1 (2002–2010), Phase 2 (2011–2018), and Phase 3 (2019–2025). Analytical methods such as keyword co-occurrence analysis, topic modeling (LDA), and mind mapping were employed to identify thematic shifts across time. The analysis revealed that Phase 1 centered on building the technological foundation, including multicultural material collection and organization, librarian training, and policy linkage discussions. Phase 2 emphasized the expansion of regionally specialized services, policy-driven operational strategies, and the preservation of cultural resources with greater inclusiveness. Phase 3 highlighted the integration of intelligent technologies, including artificial intelligence, chatbots, and the metaverse, alongside active research on information welfare and cultural convergence. These findings indicate that libraries have evolved from simple information providers into core platforms for social integration and inclusion. In particular, strengthening information welfare, implementing regionally tailored services, and developing intelligent convergence services emerged as key future directions. In sum, multicultural library service research in Korea has progressed from building a technological foundation, through operational and policy sophistication, to the current stage of intelligent convergence services. Accordingly, future library policies and services should be designed based on user-centeredness, regional responsiveness, and technological integration. Through this process, public libraries can serve as inclusive and sustainable institutions, playing a leading role in fostering social cohesion in a multicultural society.

목적: 본 연구는 저가색조화장품과 고가색조화장품 그리고 수입색조화장품으로 세분화된 이들 세분시장은 과연 차별화된 정체성 으로 포지셔닝되어 있으며, 색조화장품 브랜드군 세분시장 간에는 어떠한 유사도와 차이점을 가지고 있을까?에 대한 의문으로 시 작하였다. 방법: 본 연구를 수행하기 위해 Python version 3.10.6 프로그램을 이용하여 네이버 쇼핑몰의 색조화장품 카테고리에서 기호가치 소비한 소비자의 담론을 크롤링하였으며, 전처리 과정을 거쳐서 워드클라우드 분석, N-gram 분석, 토픽 모델링 분석, 유 사도 분석, 그리고 감성분석을 시행하였다. 결과: 텍스트 마이닝 분석과정에서 많은 흥미로운 것을 발견하였는데, 그 중 하나는 혁 신적 소비자들이 참여하는 짧은 시간내에 이루어지는 라이브 방송을 통해 구매하는 새로운 유통경로에 대한 발견과 저가색조화장 품과 수입색조화장품 세분시장에서 휴리스틱스적인 결과는 다르나 유사한 담론의 패턴을 사용하고 있었으며, 세분화된 각 세분시 장은 차별화된 포지셔닝을 가지고 있는 것으로 나타났다. 결론: 비교 연구 대상인 기호가치 소비한 저가 화장품, 고가 화장품, 수입 화장품의 색조 화장품 이용 소비자 그룹은 각기 다른 정체성을 가지고 있어 브랜드 세분시장과 포지셔닝이 다르며 소비자들의 선택 속성 또한 다르기 때문에 국내 색조 화장품 산업의 방향성을 제시하는 동시에 마케팅 전략에 활용할 이론적 기초자료를 제공할 수 있으며, 각 비교 연구 군에서 얻게 되는 연구 결과에 따라 색조 화장품 브랜드 세분시장 별 시장경쟁력 강화를 위한 경영전략 및 마 케팅 전략에 폭넓은 실무적 시사점을 제시할 수 있을 것이다

Purpose: This study began by investigating the similarities and differences among segmented markets within the color cosmetics industry, which are subdivided into low-cost color, high-priced, and imported color cosmetics, positioned as differentiated identities, and what are the similarities and differences between the segmented markets of the color cosmetics brand group. Methods: To perform this study, we used Python version 3.10.6 to crawl discourse from attracting value-driven consumers in the color cosmetics category on Naver Shopping Mall. After that, we completed the pre-processing steps and then conducted Word Cloud analysis, N-gram analysis, Topic Modeling analysis, Similarity analysis, and Sentiment analysis. Results: The text mining analysis showed several interesting findings. Notably, we found a new distribution channel where innovative consumers make purchases through live broadcasts performed within a short period. Furthermore, the analysis indicated that while low-priced and imported color cosmetics submarkets showed different logical results, they utilized similar discourse patterns. Furthermore, each segmented submarket was observed to possess a distinct positioning strategy. Conclusion: The consumer groups that utilized the taste value, the subject of comparative analysis, and used the low-cost, high-value, and imported color cosmetics have different identities. Consequently, the market segmentation and positioning of these brands differ, and consumer preferences vary. This allows us to outline the direction of the domestic color cosmetics industry and provide basic theoretical materials for marketing strategies. According to the research results obtained from each comparative research group, it will be possible to present a wide range of practical implications for management and marketing strategies to strengthen the market competitiveness of color cosmetics brand segments.

目的: 本研究始于一个关于以下问题：低价彩妆、高价彩妆、进口彩妆这些细分市场是否具有差异化身份定位， 彩妆品牌团体细分市场之间有哪些相似之处和差异？。方法: 本研究采用Python 3.10.6版本程序抓取Naver商城 彩妆品类消费偏好值的消费者话语，通过预处理，进行了词云分析、N-gram分析、主题建模分析、相似性分析 和情感分析。结果: 文本挖掘分析过程中发现了很多有趣的事情，其中之一就是发现了创新型消费者在短时间内 通过直播购买的新分销渠道。此外，分析还发现，低价彩妆和进口彩妆虽然逻辑结果不同，但话语模式相似。 此外，据观察，每个细分子市场都拥有独特的定位策略。结论: 利用口味价值这一比较分析的对象，使用低价、 高值、进口彩妆的消费群体有着不同的身份。因此，这些品牌的市场细分和定位不同，消费者的偏好也不同。 这使我们能够勾勒出国内彩妆行业的发展方向，为营销策略提供基础理论素材。根据每个比较研究小组获得的 研究结果，将有可能对管理和营销策略提出广泛的实际影响，以加强彩妆品牌细分市场的市场竞争力。

This study applies topic modeling analysis to AI?dance research articles indexed in SCOPUS and KCI to identify the major themes and knowledge structures of international AI?dance scholarship, and, through comparison with domestic research, to suggest future directions for AI?dance research in Korea. First, while both international and domestic AI?dance research have experienced rapid growth since the pandemic, they exhibit distinct differences in research perspectives and methodologies. International research focuses on the structures, algorithms, and creative systems of AI technologies?such as generative AI, learning, movement modeling, neural networks, and human?computer interaction?thereby conceptualizing dance as a data-driven object of creation and analysis. In other words, AI is understood as a technological medium that performs practical creative functions within dance. In contrast, domestic research largely approaches AI as a tool for education, classroom practice, and applied case studies, remaining at an exploratory stage of potential utilization. AI is positioned not as a component of creative systems but as part of an educational discourse. Consequently, while international research has already entered a convergent and multidisciplinary research ecosystem, domestic research still remains in a foundational stage focused on educational introduction and preliminary application. To bridge this gap, it is necessary to strengthen the core competencies required for AI research, pursue more ambitious and forward-looking studies grounded in a deeper understanding of international scholarship, and expand domestic research into specialized educational topics as well as culturally and identity-based themes.

Purpose: The purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site. Methods: In total, 628 online newspaper articles and 1,966 social network service posts published between January 1 and December 31, 2019 were analyzed. The procedures in this study were conducted in the following order: keyword selection, data collection, morpheme analysis, keyword analysis, and topic modeling. Results: The term "yirundung-yi", which is a native Korean word referring to premature infants, was confirmed to be a useful term for parents. The following four topics were identified as the supportive care needs of parents of preterm children: 1) a vague fear of caring for a baby upon imminent neonatal intensive care unit discharge, 2) real-world difficulties encountered while caring for preterm children, 3) concerns about growth and development problems, and 4) anxiety about possible complications. Conclusion: Supportive care interventions for parents of preterm children should include general parenting methods for babies. A team composed of multidisciplinary experts must support the individual growth and development of preterm children and manage the complications of prematurity using highly accessible media.

본 수영은 대중적인 생활체육으로 인식되고 있다. 하지만 아파트, 호텔 등에 설치된 실내수영장에서 종종익수사고가 발생하고 있다. 따라서 본 연구에서는 쇼셜미디어, 뉴스, 잡지, 학술논문에서 수집한 데이터를 대상으로 텍스트마이닝 기법을 활용하여 수영장 익수사고를 중심으로 키워드 분석을 수행하였다. 이를 통해 수영장에서 발생하는 사고의 원인, 결과와 밀접한 키워드를 분석하여 향후 사고예방을 위한 기술적 연구에 활용하는데 연구의 목적이 있다. 본 연구에서는 최근 5년간 소셜 미디어 동영상(102개)과 뉴스기사(30개)를 활용하여 키워드 및 토픽 모델링 분석을 수행하였다. 그 결과 첫째, 아동 익수 사고와 구조 활동, 둘째로 부주의와 그에 따른 법적 책임, 셋째, 수영장, 워터파크, 주거시설 내 수영시설에서의 아동 안전사고 위험으로 분류되었다. 네트워크 분석 결과는 ‘수영활동’과 ‘조사’와 같은 키워드가 매개 역할을 하는 것으로 나타났다. 본 연구 결과는 향후 수영장 익수사고의 인과관계 분석, 기술적 해결방안을 마련하는 기초자료로 활용성이 높을 것으로 판단된다.

Swimming is widely recognized as a popular recreational sport. However, drowning accidents frequently occur in indoor swimming pools located in apartments, hotels, and other facilities. Therefore, this study employs text mining techniques to analyze drowning accidents in swimming pools using data collected from social media, news articles, magazines, and academic papers. The purpose of the study is to identify keywords closely related to the causes and consequences of these accidents and to provide insights that can inform future technological research aimed at accident prevention. This study utilizes 102 social media videos and 30 news articles from the past five years to conduct keyword analysis and topic modeling. The results reveal three main themes: (1) child drowning accidents and rescue activities, (2) negligence and related legal responsibilities, and (3) child safety risks in swimming pools, water parks, and residential swimming facilities. Network analysis further indicates that keywords such as “water activity” and “investigation” serve as mediating nodes within the keyword network. These findings are expected to serve as valuable foundational data for future causal analyses of swimming pool drowning accidents and for developing technical solutions to enhance safety in swimming environments.

본 연구의 목적은 토픽모델링 분석법을 통해 국내 트라우마 연구의 동향을 분석을 통해 주요 연구주제를 확인하고 성장 또는 쇠퇴하는 주제들을 규명하고자 하였다. 이를 위해 1996년부터 2016년까지 발간된 논문들 중 199편의 논문들을 선별하여 토픽모델링 분석을 실시하였다. 그 결과 총 39개의 주제가 추출되었고, 이는 다시 15개의 중범위 주제와 5개의 상범위 주제로 범주화되었다. 트라우마 연구논문의 수는 2008년, 2011년, 2014년을 기점으로 전반적인 증가 추세를 보임이 확인되었다. 특히, 2014년-2016년 논문 성과물이 전체 논문 실적의 55.78%였는데, 이는 ‘세월호 침몰’ 재난의 영향에 의한 것임을 확인하였다. 성장속도가 높은 주제는 ‘다양한 유형의 트라우마 사건에 따른 주요 심리적 증상들’과 ‘트라우마에 대한 심리사회적 개입’에 대한 주제였으며, 성장속도가 상대적으로 낮은 주제는 ‘PTSD의 생리심리사회적 기제’와 ‘트라우마 내러티브’에 대한 것이었다. 마지막으로, 본 연구의 주요 결과에 따른 논의에서 본 연구의 제한점과 함께 추후 트라우마 연구의 방향에 대해 제언하였다.

The purpose of this study is to analyze research trends related to psychological trauma in South Korea to identify upward and downward topics. A topic modeling analysis was conducted for 199 articles published from 1996 to 2016. The number of articles on trauma increased in 2008, 2011, and 2014 and those published between 2014 and 2016 covered 55.78% of the total because of Sewol ferry disaster. Based on the topic modeling analysis, 39 key topics were identified and categorized into 15 mid-range topics and 5 high-range topics. Hot topics were found to be ‘major psychological symptoms following various types of traumatic events’ and ‘psycho-social intervention for trauma’, while cold topics were ‘biopsychosocial mechanism of PTSD’ and ‘trauma narrative’. Implications and limitations of this study were discussed based on the results, along with the directions for future research on trauma.

Hong Kong cinema has undergone significant changes, shifting from an actor-driven, story-rich industry to one influenced by large-scale productions and global trends. This study applies topic modeling to analyze audience reviews of Hong Kong films from two periods: pre-2000 and post-2000. Using Latent Dirichlet Allocation (LDA), it identifies key thematic changes, highlighting a decline in acting quality and storytelling depth. Findings indicate that pre-2000 films were praised for strong performances and engaging narratives, while post-2000 films prioritized large-scale productions and high-budget visuals but faced criticism for weaker storytelling and predictable plots. The study suggests that Hong Kong cinema has struggled to retain its distinct identity amid globalization and competition from Hollywood and mainland Chinese productions. To regain its prominence, a balance between high production values and compelling storytelling is necessary. Future research should explore cross-cultural comparisons and industry perspectives to further understand audience engagement trends.

This study analyzes Korean and Chinese consumer perceptions of Hanbang (traditional Korean herbal) cosmetics, specifically focusing on Sulwhasoo’s Jaum two-piece set. Using topic modeling, 7,000 consumer reviews from Naver (Korea) and Baidu (China) were examined to uncover the key themes that influence consumer satisfaction and dissatisfaction. The results reveal significant similarities and differences between the two markets. In both countries, the product is frequently purchased as a gift, and price sensitivity is a major concern. However, Korean consumers prioritize delivery experiences and product functionality, while Chinese consumers focus more on product quality and effectiveness. These findings highlight the need for targeted strategies in each market. For success in Korea, competitive pricing and improved logistics are crucial, whereas in China, maintaining high product quality and capitalizing on the gifting culture are essential. Additionally, global expansion requires educating consumers on the benefits of Hanbang cosmetics, ensuring product consistency, and adapting to regional preferences. This research provides valuable insights for cosmetic companies aiming to enhance their market presence both locally and internationally.

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.

ESG management is essential to ensure the sustainability of companies in an environment where many risks such as climate change are impacting. It is essential to promote academic research that reflects social requirements so that ESG management can be implemented in all fields of our society. The purpose of this research is to identify social issues and trends linked to ESG and determine whether academic studies are being performed to address them. The study aimed to identify social issues and trends related to ESG, news article texts from Big Kinds, a news search site, were collected and topic modeling and semantic network-based text analysis were performed. In order to understand academic research topics related to ESG, summary texts of ESG-related academic papers were collected on the RISS site, and topic modeling and semantic network-based text analysis were performed. The article confirms an increasing interest in ESG from both social and academic perspectives. However, there is a slight disparity between the two, with social trends related to ESG management gaining attention from larger companies and then spreading to small and medium-sized enterprises, while academic research on ESG tends to focus mainly on the concept and principles.

This study aims to reveal the popular features of blockchain games in the market and to identify which group of games perform better in terms of capitalization ability using a textmining based approach. We collected the information of over 2000 blockchain games including game descriptions and market performances from a popular blockchain game hub and employed topic modeling techniques to comprehensively explore the features. In total 38 topics were extracted from the game descriptions using BERTopic model and grouped into 4 themes: “blockchain games”, “game content”, “game format” and “others”. We further examined the relationships between these themes and market performances for the active 223 games. Preliminary results indicate that diverse market performances exist within each theme, Web3-focused and community-driven nature games exhibit a stronger performance. These findings provide insights for future research and help stakeholders understand key factors driving financial success in blockchain gaming.

본 연구는 최근 30년간 발표된 소아완화간호 연구를 대상으로 텍스트 네트워크 분석과 토픽 모델링을 적용하여 연구의 지식 구조와 주제적 동향을 규명하고자 하였다. PubMed, Embase, CINAHL 데이터베이 스에 등재된 소아완화분야 간호 관련 학술 논문의 초록을 분석 대상으로 하였고, 핵심 주요어의 빈도, 연결중심성, 매개중심성을 분석하였다. 토픽 모델링을 적용하였다. 총 1,252편의 초록이 최종 분석에 포함되었다. 핵심 주요어는 ‘가족’, ‘부모’, ‘요구’, ‘생애말기’, ‘경험’으로 나타났다. 토픽모델링 분석 결과, ‘생애말기 돌봄’, ‘가족의 요구 지지’, ‘서비스 전달체계’, ‘증상 관리’의 네 가지 주요 연구 주제가 도출되었다. 시기별 분석에서는 소아완화간호 연구의 꾸준한 양적 증가와 함께, 가족의 요구 지지와 생애말기 돌봄과 관련된 연구가 뚜렷하게 증가하는 경향을 보였다. 본 연구 결과는 소아완화간호 연구가 증상 중심 중재에서 가족 중심 돌봄과 생애말기 돌봄을 강조하는 전인적 돌봄으로 심화하고 있음을 보여준다. 이는 향후 소아완화간호 실무, 교육 및 연구 영역에서 가족 중심 역량과 생애말기 돌봄 역량을 강화할 필요성을 시사한다.

This study aimed to examine the knowledge structure and research topic trends in pediatric palliative nursing by applying text network analysis and topic modeling to published articles over the past 30 years. Data were extracted from abstracts of peer-reviewed articles related to pediatric palliative nursing published between 1995 and 2025. Articles were retrieved from PubMed, Embase, and CINAHL. Keyword frequency, degree centrality, and betweenness centrality were analyzed. Latent Dirichlet Allocation topic modeling was applied. A total of 1,252 abstracts were analyzed. Topic modeling revealed four major research topics: ‘end-of-life care’, ‘supporting family needs’, ‘service delivery system’, and ‘symptom control’. The findings demonstrate that pediatric palliative nursing research has evolved from a primarily symptom-focused approach toward holistic care that emphasize family-centered care and end-of-life care. These results highlight the importance of strengthening family-centered competencies and end-of-life care competencies in pediatric palliative nursing practice, education, and research.

본 연구는 지금까지 한국의 영어 교육 분야에서 발표된 챗봇 관련 연구들의 주제 동향을 탐색하고, 시간의 흐름에 따라 연구 주제의 변화를 확인하고자 실시되었다. 본 연구의 목표를 달성하기 위해 학술지 논문을 중심으로 관련 문헌을 선별하여 수집하였다. 그 결과 93편의 학술 논문이 최종 분석 대상으로 선정되었다. 아울러, 분석 대상 논문에서 제목과 초록을 추출하였으며, 이를 바탕으로 토픽 모델링 기법을 활용하여 챗봇 관련 연구들의 주제 동향 및 시간에 따른 주제 변화 추이를 관찰하였다. 본 연구 결과를 정리하면 다음과 같다. 첫째, 한국의 영어 교육 분야에서 실시된 챗봇 관련 연구들은 주로 학생들을 대상으로 하고 있으며, 사용된 챗봇 유형은 당시의 기술 동향이 반영되고 있는 것으로 나타났다. 둘째, 토픽 모델링 분석을 통해 "다양한 목적을 위한 챗봇의 다면적 응용(주제 1)", "챗봇 사용의 효과와 사용자 인식 이해(주제 2)", "챗봇 중심 과업, 과업 별 챗봇 개발 및 학습자-챗봇 상호작용(주제 3)"의 세 가지 연구 주제 동향이 관찰되었다. 셋째, 해당 주제들의 시간적 변화 추이를 살펴본 결과, 주제1의 비중은 시간이 지남에 따라 증가하는 추세를 보였고, 주제2는 반대로 감소하는 추세를 보였다. 주제3에서는 시간의 흐름에 상관없이 일관되게 낮은 관찰 빈도가 목격되었다. 본 연구는 한국의 영어 교육 맥락을 바탕으로 수행되었으나, 한국을 포함하여 유사한 외국어 학습 배경을 공유하는 학문 공동체에 역시 영어 교육에서의 효과적인 챗봇 통합을 위해 필요한 향후 연구 주제에 대해 다양한 방향과 지침을 제공해줄 수 있다.

This study aimed to investigate the specific topics of scholarly inquiries related to a chatbot within the domain of English pedagogy in South Korea and to track the changes in these topics over time. To achieve this goal, rigorous criteria were established to screen and gather relevant literature, resulting in the selection of 93 scholarly articles. From these articles, titles and abstracts were extracted and analyzed using topic modeling techniques. The findings of this investigation are as follows: first, it was observed that most chatbot-related scholarly articles in Korea predominantly involved students as subjects, and the types of chatbots used reflect sensitivity to current technological trends. Secondly, the topic modeling analysis identified three main topics: "the multifaceted application of chatbots for various purposes (Topic 1)," "understanding the impacts and perceptions of chatbot use (Topic 2)," and "chatbot-centric tasks, the development of task-specific chatbots, and learner-chatbot interactions (Topic 3)." Lastly, the temporal trajectory of these topics revealed a noticeable increase in the proportion of Topic 1, a decrease in Topic 2, and a consistently low frequency of Topic 3. Despite being limited to the context of South Korean English pedagogy, these insights provide several academic implications. Specifically, the findings can help researchers better understand and identify future research areas within and beyond the South Korean English education context.

본 연구는 에콰도르 대학교육에서 메타버스 도입 현황을 분석하기 위해 교수 및 학생 대상 인터뷰 자 료를 Latent Dirichlet Allocation(LDA) 기법으로 조사하였다. 주요 결과로 참여도, 사용성, 인프라 등의 핵심 주제 가 도출되어 기회와 도전 과제가 병존함을 확인하였다. 교수들은 학문 분야별 맞춤형 활용 가능성을 강조했으나, 교 강사 역량 강화, 네트워크 연결성, 기술적 한계 등을 주요 과제로 지적하였다. 학생들은 몰입형 학습의 장점을 긍정 적으로 평가하면서도 사용성과 접근성 측면에서 어려움을 호소하였다. 퍼플렉시티와 코히어런스 지표를 통해 LDA의 분석적 신뢰도를 확인한 본 연구는, 에콰도르의 디지털 격차 해소와 정책적 지원이 성공적인 메타버스 통합에 필수 적임을 시사한다.

This study applies Latent Dirichlet Allocation (LDA) to study metaverse adoption in Ecuadorian higher education through interviews with professors and students. Key findings reveal themes of engagement, usability, and infrastructure, highlighting both opportunities and challenges. Professors emphasize subject-specific customization but cite faculty training needs, connectivity issues, and technical limitations, while students value immersive benefits yet encounter usability and accessibility concerns. Perplexity and coherence values confirm the reliability of LDA in identifying critical adoption factors. The results underscore that bridging Ecuador’s digital divide and implementing supportive policies are pivotal for successful metaverse integration.

This study conducts an in-depth analysis of user reviews from three leading metaverse platforms - Minecraft, Roblox, and Zepeto - using advanced topic modeling techniques to uncover key factors for business success. By examining a substantial dataset of user feedback, we identified and categorized the main themes and concerns expressed by users. Our analysis revealed that common issues across all platforms include technical functionality problems, user engagement and interest, payment concerns, and connection difficulties. Specifically, Minecraft users highlighted the importance of adventure and creativity, Roblox users expressed significant concerns about security and fraud, and Zepeto users focused heavily on the fairness of the in-game economy. The findings suggest that for metaverse platforms to achieve sustained success, they must prioritize the resolution of technical issues, enhance features that foster user engagement, ensure reliable connectivity, and address platform-specific concerns such as security for Roblox and payment fairness for Zepeto. These insights provide valuable guidance for developers and business strategists, emphasizing the need for robust technical infrastructure, engaging and diverse content, seamless user access, and transparent and fair economic systems. By addressing these key areas, metaverse platforms can improve user satisfaction, build a loyal user base, and secure long-term success in an increasingly competitive market.

본 연구는 기후변화 관련 언론보도의 내용과 프레임을 토픽모델링과 프레이밍 분석을 통해 조사하고, 효과적인 기후변화소통 전략 도출을 목적으로 진행되었다. 2020년1월1일부터 2024년 12월 31일까지 조선일보, 동아일보, 중앙일보, 한국일보, 한겨레, 경향신문, 한국경제, 매일경제 등 총 8개의 신문에서 기후변화, 기후위기, 탄소중립, 온실가스 등의 키워드로 검색한 기사를 토대로 1차적으로 토픽모델링 분석을 진행하고, 이 중 2회 이상 기후 관련 키워드가 도출된 기사를 대상으로 프레임 분석을 진행하였다. 그 결과, 기후위기사회적대응, 그린뉴딜산업정책, 탄소중립정책, 재생에너지전환, 일사속탄소배출, 기업 ESG경영, 기후소송운동, 기후변화과학적증거, 코로나와기후, 국제기후협상 등 총 10개의 토픽이 도출되 었다. 프레임 분석 결과, 진단프레이밍이 37.6%, 결과프레임이 52.8%로 가장 높은 비중을 차지하였다. 본 연구는 기후변화 이슈와 관련하여 의제설정과 프레이밍의 상호작용을 실증적으로 탐구해보고자 했다는데 의의가 있으며, 기후변화소통을 위한 실천적 함의점을 제공해 줄 수 있을 것으로 기대된다.

This study examined the content and framing of climate change news coverage through topic modeling and frame analysis, aiming to derive effective climate change communication strategies. Articles from eight major Korean newspapers published between January 1, 2020, and December 31, 2024, were analyzed. Articles were initially searched using keywords such as climate change, climate crisis, carbon neutrality, and greenhouse gases. topic modeling analysis was first conducted, followed by frame analysis of articles in which climate-related keywords appeared two or more times. The analysis identified ten major topics. Fame analysis revealed that diagonostic framing accounted for 37.6% and consequence framing for 52.8%, represetning the highest proportions among the frames examined. This study is significant in that it empirically explores the interaction between agenda-setting and framing in relation to climate change issues.

When a competent employee leaves an organization, the technical skills and know-how possessed by that employee also disappear, which may lead to various problems, such as a decrease in organizational morale and technology leakage. To address such problems, it is important to increase employees’ job satisfaction. Due to the advancement of both information and communication technology and social media, many former and current employees share information regarding companies in which they have worked or for which they currently work via job portal websites. In this study, a web crawl was used to collect reviews and job satisfaction ratings written by all and incumbent employees working in nine industries from Job Planet, a Korean job portal site. According to this analysis, regardless of the industry in question, organizational culture, welfare support, work system, growth capability and relationships had significant positive effects on job satisfaction, while time and attendance management, performance management, and organizational flexibility had significant negative effects on job satisfaction. With respect to the path difference between former and current employees, time and attendance management and organizational flexibility have greater negative effects on job satisfaction for current employees than for former employees. On the other hand, organizational culture, work system, and relationships had greater positive effects for current employees than for former employees.

Digital piracy is one of the most significant threats on digital goods, and it’s increasing every year. Many researchers analyze this phenomenon by using and developing different models and approaches, creating an ocean of information. Due to this vast amount of research, it’s crucial to perform a literature analysis to have a global picture and to build an integrity view on digital piracy; however the traditional literature analysis is a tedious process and requires a substantial amount of time. Hence, faster and effective methods are necessary. We performed a non-traditional literature analysis approach using text mining techniques on a collection of 856 digital piracy articles from 29 years across several relevant journals. Therefore, Latent Dirichlet Allocation and igraph were use to group articles on relevant topics and to graph terms associations. This study identified the common trends as well as the relation between the different theories.

본 연구는 세월호 참사(2014–2023)와 관련된 언론보도의 10년간 동향을 분석하여, 재난보도에서 언론의 역할과 책임을 재조명하고자 하였다. 이를 위해 네이버 포털에서 수집한 총 89,592건의 뉴스 기사를 대상으로 토픽모델링을 적용하여 분석하였다. 분석 결과, 초기 보도는 구조 활동, 희생자 추모, 책임 규명과 관련된 입법 및 사법 논의 등 사실 중심의 보도가 주를 이루었다. 중기에는 참사를 기리는 예술적 활동과 진상규명을 요구하는 시민단체의 활동으로 관심이 확대되었으며, 다양한 논쟁이 함께 나타났다. 후기에는 세월호 참사가 5·18 민주화운동, 가습기 살균제 사건 등 다른 주요 사회적 사건들과 연계되어 보도되면서, 연대와 집단기억의 주제가 점차 부각되었다. 이러한 결과는 재난보도가 정치적 책임 공방 중심에서 피해자, 시민 연대, 사회적 치유를 강조하는 담론으로 발전해왔음을 시사하며, 언론의 역할과 책임에 대한 성찰적 접근의 필요성을 제기한다.

This study examines ten-year trends (2014–2023) in media coverage of the Sewol Ferry disaster to reassess the role and responsibility of the media in disaster reporting. A total of 89,592 news articles collected from the Naver portal were analysed using topic modelling. The results indicate that early coverage predominantly focused on factual reporting, including rescue operations, victim commemoration, and legal and legislative debates over responsibility. During the middle period, media attention expanded to artistic forms of commemoration and civic group activities demanding truth-finding, alongside the emergence of various controversies. In the later period, coverage of the Sewol Ferry disaster increasingly intersected with other major social issues, such as the May 18 Democratic Movement and the humidifier disinfectant case, highlighting growing themes of solidarity and collective memory. Overall, these findings suggest that disaster reporting has evolved from political blame-centred framing toward narratives that emphasise victims, civic solidarity, and social healing, underscoring the importance of a more reflective approach to the role and responsibility of the media.

본 연구는 키워드 네트워크 분석과 토픽모델링을 활용하여 국내 학술지에 게재된 집단상담 관련 연구동향을 분석하는 데 목적이 있다. 이를 위하여 국내 등재 학술지에 게재된 910편의 논문을 분석하였다. 논문 분석을 위하여 넷마이너(NetMiner) 4.5 프로그램을 활용하여 논문에 잠재된 토픽과 키워드를 도출하였다. 본 연구는 전기(2000년-2010년)와 후기(2011-2022년)로 나누어 토픽모델링을 분석하고 토픽 분류결과 동일하게 나타난 토픽 간 연결중심성과 상위단어들의 동시출현단어들을 분석하였다. 또한 전체 집단상담에 대한 토픽 변화추이를 분석하여 연구 주제가 시간 추이에 따라 어떻게 변화하는지를 살펴보았다. 분석결과, 전기에는 학교생활적응 개입, 정서조절 및 적응 개입, 부적응과 가족 요인 개입, 인터넷중독 개입, 진로 개입, 정신건강 개입 등의 토픽이 도출되었으며, 후기에는 정신건강 개입, 정서조절 및 적응 개입, 진로 개입, 매체중독 개입 등의 토픽이 주요 연구주제로 나타났다. 또한 시기별 토픽 추이 분석 결과, 진로 개입과 정서조절 및 적응 개입은 전 기간에 걸쳐 지속적으로 나타난 주요 연구주제로 확인되었으며, 최근에는 정신건강 및 매체중독 관련 연구의 증가가 확인되었다. 이상의 분석결과와 논의를 바탕으로 향후 집단상담 연구에 대한 시사점을 제시하였다.

This study aims to analyze research trends in group counseling published in Korean academic journals by using keyword network analysis and topic modeling. A total of 910 articles published in accredited Korean journals were collected and analyzed. To extract latent topics and keywords from the articles, the NetMiner 4.5 program was employed. The analysis divided the data into two periods: the earlier period from 2000 to 2010 and the later period from 2011 to 2022. Topic modeling was conducted for each period, and network analyses were performed to examine the degree centrality among shared topics and the co-occurrence patterns of major keywords. In addition, overaell changes in topic trends were analyzed to explore how research themes evolved over time. The results indicated that, in the earlier period, the major topics included interventions for school adjustment, emotional regulation and adaptation, maladjustment and family-related issues, internet addiction, career development, and mental health. In the later period, the main topics were mental health interventions, emotional regulation and adaptation, career interventions, and media addiction interventions. Furthermore, the analysis of topic trends across time further revealed that career interventions and emotional regulation and adaptation remained consistent core research themes across the entire period, while recent years showed a notable increase in studies related to mental health and media addiction. Based on these findings, this study provides implications for future research in group counseling.