Earticle

This study aims to investigate keywords and key clusters in Shakespearean love plays focusing on a group of three love tragedies(Anthony and Cleopatra, Othello, and Romeo and Juliet) and a group of three love comedies(A Midsummer Night’s Dream, As You Like It, and The Two Gentlemen of Verona). The only one shared key keyword in love tragedies and love comedies is love. Some of the key keywords in love comedies have a positive tendency, such as love, lover, lovers, sweet, wit, and love’s. By contrast, some of the key keywords in love tragedies have a negative tendency, such as dead, poison, beguil’d, death, and soldier’s. The only one shared key key cluster in love tragedies and love comedies is go with me. These results tell us that all six plays belong to the category of love plays and the characteristics of keyword and key cluster dispersion plots can distinguish tragedy plays from comedy plays.

Classroom use of authentic texts used in everyday communication has not always been an inseparable part of foreign language teaching. According to Grigaliuniene (2013, p. 17), “the structures many current textbooks teach for certain functions are either never used or used infrequently while quite unexpected structures are the ones that actually occur”. Despite the awareness of the importance of authentic patterns of language use, students often learn structures (lexical or grammatical) which are rarely used in actual communication. Teaching authentic phrases is even more important in English for Specific Purposes (ESP) where learners’ specific needs impact the design of a course (Dudley-Evans & St John, 1998). What is more, ESP students need to acquire vocabulary of a target profession. Thus, in this preliminary study, conducted using corpus linguistic methodology, an attempt is made to identify and explore the use and discourse functions of frequent and typical patterns of language use, i.e. keywords, recurrent clusters and multi-word terms (nominalizations), found in a custom-designed corpus of car reviews written in English. As shown by examples of student tasks, the results have pedagogical potential in that they can be used as a useful resource when designing or supplementing teaching materials for secondary-school ESP students (automotive technicians and car mechanics).1)

포털사이트의 실시간 검색키워드는 검색횟수의 순간증가율이 높은 순서대로 나타나므로 짧은 시간에 관심 도가 급상승하는 이슈는 쉽게 보여주지만, 포털사이트별로 다른 결과가 도출되고 일정기간에 대한 이슈는 나타내지 못하는 한계가 있다. 따라서, 일정기간 동안의 전체 실시간 검색키워드에서 핵심 이슈를 찾고 각 포털사이트별로 집 계한 결과와 이들의 차이를 분석한 결과를 보여주는 것은 이슈를 보다 실제적으로 이해할 수 있는 근거를 제공하고 자주 변화하는 실시간 검색키워드에 대한 일관성을 유지할 수 있게 해준다는 측면에서 의미가 있다. 이를 위해 본 논문에서는 대표적인 두 개의 포털사이트에서 제공하는 실시간 검색키워드의 주간 분석을 통하여 주간 핵심 이슈를 추출하고 이들의 차이를 분석한다. 두 포털사이트의 실시간 검색키워드 중요도 점수에 대한 독립표본 t검정과 실시간 검색키워드 생존함수에 의한 생존분석 결과, 두 포털사이트는 차이가 있다는 것을 보였다.

Since realtime search keywords of portal sites are arranged in descending order by instant increasing rates of search numbers, they easily show issues increasing in interests for a short time. But they have the limits extracted different results by portal sites and not shown issues by a period. Thus, to find key issues from the whole realtime search keywords for certain period, and to show results of summarizing them and analyzing differences, is significant in providing the basis of understanding issues more practically and in maintaining consistency of them. This paper analyzes differences of week key issues extracted from week analysis of realtime search keywords provided by two typical portal sites. The results of experiments show that the portal group means of realtime search keywords by the independent t-test and the survival functions of realtime search keywords by the survival analysis are statistically significant differences.

본 연구의 목적은 보편적인 국제표준을 준용하되 국내의 독특한 생태적, 사회·경제적 특성을 반영한 습지의 생태계서비스 평가항목을 도출하는데 있다. 습지 생태계의 기능과 가치, 국내 여건에 부합하는 항목 선정을 위해 문헌 고찰과 함께 지금까지 수립된 4차례 전국 단위의 국가습지보전기본계획에 포함된 205개 추진 과제를 대상으로 주제어 분석을 진행하였다. 생태계서비스와 관련성이 낮은 95개 과제를 제외한 110개 추진 과제를 생태계서비스 항목별 관련도에 따라 분류하였다. 문헌 고찰을 통해 추출한 13개 평가항목에 대한 분석 결과, 우리나라 습지의 생태계서비스는 생물다양성, 여가·관광, 서식처 제공, 온실가스 조절, 재해 조절 5개 핵심 항목으로 나타났다. 정책 주제어 분석에 따르면, 생물다양성 및 여가·관광에 대한 중요도가 높고, 과거에 비해 온실가스 조절 서비스와 관련된 내용이 점차 증가하는 것을 확인할 수 있다. 본 연구 결과는 향후 습지의 가치 평가 및 관리 도구를 설계할 때 생태계서비스 항목의 우선순위를 설정하는데 기여할 수 있을 것이다.

The study aims to derive core evaluation items for wetland ecosystem services that incorporating the RAMSAR guidelines with the endemic ecological, socio-economic characteristics of Korea wetlands. To identify evaluation items suitable for the management strategies and scientific knowledge on wetland ecosystems in Korea, we conducted a literature review in conjunction with keyword analysis of 205 action programs of the four consecutive National Wetland Conservation Plans to assess policy importance. Based on the literature review, candidate evaluation items were initially derived, and 95 tasks considered less relevant to wetland ecosystem services were excluded. The remaining 110 tasks were classified according to their correspondence with specific ecosystem service functions. Based on the 13 evaluation items identified from the literature review, five core items including biodiversity, recreation and tourism, habitat, climate regulation, and natural hazard regulation were proposed with policy-related issues. In particular, the policy keyword analysis revealed a high priority on biodiversity and recreation/tourism, and showed a gradual increase in ecosystem service-related programs over time. The findings of this study can be applied in valuation toolkit for wetland conservation and the policy design on wetland management strategies.

The Fourth Industrial Revolution and the proliferation of artificial intelligence (AI) are transforming the structure of education, and EduTech has become a key area of educational innovation. This study aims to analyze unstructured data from 2020 to 2025 to identify the time-series changes in AI-based EduTech and suggest a structural direction for the Artificial Intelligence-based Digital Transformation for Education (AIDX). LDA, BERTopic topic modeling, and social network analysis (SNA) were applied to identify relationships between key topics and keywords. The analysis revealed that EduTech has evolved from its initial focus on "AI learning systems" to encompass "generative AI," "personalized learning," and "AI ethics," evolving into an intelligent ecosystem that combines technology, industry, and policy. These results demonstrate that AIDX is moving beyond simple technology adoption and is acting as a structural driver of educational innovation.

2020년 코로나19 대유행으로 인하여 모든 국가가 관광 수입에서 막대한 손실을 겪었고, 2019년 대비 관광 수입이 급감하였다. UNWTO는 지난해 국제 관광객을 약 3억 7,900만 명으로, 코로나19 사태 이전이었던 2019년 14억 5,900만 명보다 74%가 감소하였다고 한다. 따라서 3,700만 명이 감소한 2009년(9억 5,600만 명) 글로벌 경제위기 당시의 40배 차이가 난다는 것을 알 수 있다.

Due to the 2020 COVID-19 pandemic, all countries suffered huge losses in tourism income, and tourism income plunged compared to 2019. UNWTO reportedly had about 379 million international tourists last year, down 74% from 1.459 billion in 2019, before the COVID-19 outbreak. Therefore, the number of posts in 2009 (956 million) decreased by 37 million.

Objective: This study aims to propose a way of using a set of key questions and keywords to help work domain analysts to use abstraction hierarchy (AH) more systematically. Background: The AH is known as a good knowledge modeling framework for analyzing a work domain. However, it has also been reported that it is not easy to model the knowledge of a work domain by using the AH in spite of its merits. For this, it is necessary to develop a way of using the AH in a systematic manner. Method: We firstly introduced a set of key questions (prompts) and keywords that were originally proposed by Neelam Naikar and her colleagues. In order to enhance their practicality and applicability, we added more key questions and proposed a way of effectively using the extended set of key questions and keywords, based on our experience of using the AH in various domains and literature review results. Then, we conducted a small case study that analyzed reactor cooling systems in nuclear power plants (NPPs) based on the AH. Results: This study proposes a set of key questions and keywords and a way of using them that can be considered in the use of the AH. Conclusion: The set of key questions and keywords can be a useful tool for enhancing the practicality and applicability of the AH. Application: The set of key questions and keyword and their usage guideline can be useful when modeling a work domain knowledge based on the AH, particularly in a complex socio-technical system.

코로나19 이후 물류 산업은 친환경 기조가 가속화되어가고 있다. 본 연구는 언론기사들에서 추출한 키워드를 기반으로 코로나19 팬데믹 전후의 친환경 물류에 관한 사회적 관심의 변화를 분석하는 것을 목적으로 한다. 이를 위해 팬데믹 이전(2018~2019년)과 팬데믹 이후(2020~2021년)로 기간을 구분하고, 각 기간의 친환경 물류 관련 언론기사들을 대상으로 텍스트 분석 및 토픽 모델링을 시행하였다. 언론기사들을 수집하기 위해서 빅카인즈 데이터베이스를 활용하였으며, 토픽모델링 방법론인 LDA(Latent Dirichlet Allocation)기법을 적용하여 각 기간별 핵심 토픽을 도출하였다. 도출된 핵심토픽을 기능별 물류와 연관지어 보관, 하역, 포장, 운송/배송, 기업전략/정책 등의 부주제로 새롭게 분류하였다. 연구 결과, 팬데믹 이후 친환경 물류와 관련하여 언론에서 관심도가 높아졌으며, 구체화된 키워드와 토픽의 경향성에서 변화가 있었다는 점을 확인하였다. 또한 친환경 보관과 관련하여 새로운 토픽들이 등장함에 따라 친환경 보관 분야가 친환경 물류의새로운 비즈니스 모델이 될 수 있음을 시사하였다.

Since the COVID-19 pandemic, the trend of green logistics has been accelerating in the logistics industry. The purpose of this study is to analyze the changes in social interest in green logistics before and after the COVID-19 pandemic, based on keywords extracted from news articles. To this end, two periods were selected, pre-pandemic (2018-2019) and postpandemic (2020-2021). Text analysis and topic modeling were conducted for the news articles related to green logistics in each period. In order to collect the news articles, the Big Kinds database was used, and key topics for each period were derived by applying the Latent Dirichlet Allocation (LDA) technique, a topic modeling methodology. The derived key topics were further classified into subtopics such as storage, unloading, packaging, transportation/distribution, and corporate strategy/policy in relation to logistics by functions. As a result of the study, it was confirmed that in the post-pandemic period, interest in green logistics increased in the media, and there was a change in the tendency of use of specific keywords and topics. In addition, with the emergence of new topics related to green storage, it was suggested that the green storage field could become a new business model for green logistics.