• East Asian mathematical journal
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• 제35권4호
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• pp.489-508
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• 2019

In this paper we used text mining method to analyze journals of mathematics education posterior to the year of 2016. To figure out trends of mathematics education research. we analyzed the key words largely mentioned in the recent mathematics education journals by Term Frequency and Term Frequency-Inverse Document Frequency method. We also looked at how these keywords match up with the key words that appear of education to prepare for future society. This result can infer the characteristics of mathematics education research in the aspect upcoming research topics.

• 디자인학연구
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• 제17권1호
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• pp.191-200
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• 2004

After the Industrialism, long-lasting issues about Post-Industrialism have closely been associated with our daily lives. The keyword of Post-Industrialism could be regarded as Immateriality, which is represented by service, Information and knowledge. In the Post-Industrial society, the major role of Post-Industrial design trend is a mediator to deliver the immateriality to users. Additionally, the maturity of technologies and product life cycle have leaded users to the design trend that is free from the technologies and functions of products. In this context, the most powerful trend of the Post-Industrial design could be "metaphor design" and "poetic dimension". The similarity of these two styles is situated in the romanticism -reflection of symbol and metaphor. However, the appearance of Apple's iMac in 1998, poetic dimension, which uses transparent plastic and colourful, pleasurable 'blobjects' has dominated the post-industrial design trend.

• 한국컴퓨터정보학회논문지
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• 제28권10호
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• pp.55-65
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• 2023

본 논문에서는 딥러닝 및 강화학습 연구에 대해 KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) 알고리즘 기반의 토픽 추출 및 토픽 출현 빈도 분석으로 급변하는 딥러닝 관련 연구 동향 분석을 파악하고자 한다. 딥러닝 알고리즘과 강화학습에 대한 논문초록을 크롤링하여 전반기와 후반기로 나누고, 전처리를 진행한 후 KeyBERT를 사용해 토픽을 추출한다. 그 후 토픽 출현 빈도로 동향 변화에 대해 분석한다. 분석된 알고리즘 모두 전반기와 후반기에 대한 뚜렷한 동향 변화가 나타났으며, 전반기에 비해 후반기에 들어 어느 주제에 대한 연구가 활발한지 확인할 수 있었다. 이는 KeyBERT를 활용한 토픽 추출 후 출현 빈도 분석으로 연구 동향변화 분석이 가능함을 보였으며, 타 분야의 연구 동향 분석에도 활용 가능할 것으로 예상한다. 또한 딥러닝의 동향을 제공함으로써 향후 딥러닝의 발전 방향에 대한 통찰력을 제공하며, 최근 주목 받는 연구 주제를 알 수 있게 하여 연구 주제 및 방법 선정에 직접적인 도움을 준다.

• 한국의류산업학회지
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• 제22권5호
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• pp.639-649
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• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• International Journal of Internet, Broadcasting and Communication
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• 제14권3호
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• pp.85-90
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• 2022

In this study, keywords from representative online portal sites such as NAVER, Google, and Youtube were collected based on text mining analysis technique using TEXTOM to check the changes in the restaurant industry before and after COVID-19. The collection keywords were selected as dining out, food service industry, and dining out culture. For the collected data, the top 30 words were derived, respectively, through the refinement process. In addition, comparative analysis was conducted by defining data from 2018 to 2019 before COVID-19, and from 2020 to 2021 after COVID-19. As a result, 8272 keywords before COVID-19 and 9654 keywords after COVID-19, a total of 17926 keywords, were derived. In order for the food service industry to develop after the COVID-19 pandemic, it is necessary to commercialize the recipes of restaurants to revitalize the distribution of home-use food products that replace home-cooked meals such as meal kits. Due to the social distancing caused by COVID-19, the dining out culture has changed and the trend has changed, and it has been confirmed that the consumption culture has changed to eating and delivering at home more safely than visiting restaurants. In addition, it has been confirmed that the consumption culture of existing consumers is changing to a trend of cooking at home rather than visiting restaurants.

• 한국산업융합학회 논문집
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• 제26권6_3호
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• pp.1183-1195
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• 2023

In this study, we collected and analyzed domestic and international studies related to watersheds in the forest sector. Keyword co-occurrence analysis was conducted using the VOSviewer program to identify the research areas of domestic and international studies and the network structure to compare research trends. As a result, the number of research articles in international watershed-related studies showed an overall increasing trend, and the research areas were diverse and located close to each other, indicating that many convergence studies were conducted. On the other hand, the number of papers in domestic watershed-related studies seems to have stagnated overall from the past to the present, and the research areas are mainly focused on forest disasters and hydrology, with limited interdisciplinary convergence studies. In addition, in both domestic and international studies, watersheds are currently mentioned as research sites rather than management or analysis units in the forest sector. It is important to actively promote interdisciplinary research in Korea to provide a scientific and balanced basis for watershed-level forest management planning.

• 터널과지하공간
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• 제25권4호
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• pp.303-319
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• 2015

텍스트 형태의 자료에서 유용한 정보를 추출하는 텍스트 마이닝 기법은 데이터 마이닝의 한 분야이다. 본 연구에서는 암반공학 분야의 대표적인 국제 학술지인 IJRMMS과 RMRE에 2001년 이후 게재된 논문의 제목과 주요어를 대상으로 텍스트 마이닝 기법을 적용하여 주요 연구 동향과 시계열 트렌드, 연구 분야 상관관계 등을 파악하였으며 이를 이해하기 쉽도록 가시화하였다. 분석 결과 주요 연구 분야는 두 학술지 모두 유사하였으나 연관관계 분석 결과 IJRMMS의 경우 'rock'을 기반으로 1개의 큰 그룹과 소규모 그룹이 형성된 반면 RMRE는 중규모의 그룹이 형성되고 이 그룹 간에 연결이 형성되는 구조가 나타났다. 또한 시계열 자료로 변환하여 군집 분석과 각 주제어의 기울기 자료로 분석한 결과 일부 하강 주제어들이 있었으나 양적인 측면에서 차이가 있을 뿐 대부분 논문 수가 증가하는 것으로 나타났다.

• 한국실내디자인학회논문집
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• 제17권5호
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• pp.157-165
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• 2008

This study confirm the value and the importance of the human sensibility study to add up the new meaning, and to suggest a new value of Korean sensibility study through the understanding of current statusand trend of the sensibility study in the space. The method of the study was to collect date related to the sensibility study and to analyze it focusing on its details. The date was collected from researches published on the website since the establishment of Korean Institute of Interior Design and Architectural Institute of Korea and selected at the keyword search comer. The data was extracted under keywords of research object, research purpose, research method, and analysis method. And then it was quantified with HAYASH lll program and used for analyses according to its pattern and feature. The study shows that nowadays categories representing the current status and trend of the sensibility studies in space consist of the environment, the human, and the space. The contemporary study for sensibility puts the importance on a object and a subject of the study like the environment harmonized with human and space, the humans the subject that essentially uses the spate, and the space for the architecture and the interior that puts human in. Accordingly, the study for human sensibility should develop into the study for the design focused on the intangible relationship such as 'information', 'elements for space design', 'sensibility' beyond the existing tangible categories of environment, human, and space. In addition, in the method ways of study and analysis, those studies for the sensible relationship are required to develop into new types of study applying research methods of various studies beyond the traditional border between human studies, social science, and natural science.

• 한국콘텐츠학회논문지
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• 제20권12호
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• pp.23-35
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• 2020

본 연구는 산업과 사회 전반에 걸쳐서 많은 영향을 미칠 사물인터넷에 관한 국내 논문들을 수집하고 분석하여 사물인터넷 분야의 동향을 살펴보고자 한다. 본 연구를 위한 조사 기간은 2015년에서 2019년까지로 하였으며 네이버의 학술정보를 이용하여 사물인터넷에 관한 국내 논문들을 수집하였다. 기간별로 수집된 국내 논문으로부터 빈도가 높은 키워드들을 추출하였으며 빈도가 높은 키워드 중에서 중심적인 키워드를 파악하기 위해서 중심성 분석을 하였다. 키워드 빈도에서는 2015년부터 2017년까지는 '센서', '보안' 그리고 2017년부터는 '차', '지능'이 빈도가 높은 상위 키워드로 나타났다. 키워드 중심성에서는 2015년부터 2016년까지 '보안', '센서' 그리고 2017년부터는 '지능', '차', '산업혁명'이 중심성이 높은 키워드로 나타났다.

• 한국산학기술학회논문지
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• 제18권9호
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• pp.403-410
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• 2017

국내의 공동주택은 1980년대 후반에 시행된 주택공급정책으로 급속히 증가하였으나, 물량적 보급에만 치중하고 품질관리측면에서는 상대적으로 소홀히 하여 다양하고 많은 하자가 발생하게 되었다. 그리고 다양하고 많은 하자 발생에 따른 분쟁이 점점 부각되고 있으며, 다양한 문제점들을 해결하기 위하여 공동주택 하자 관련 연구들이 지속적으로 수행되어 왔다. 이에 본 연구에서는 키워드 네트워크 분석 방법론을 활용하여 오랜 기간 축적된 공동주택 하자 관련 연구 분야의 주요 키워드 및 트렌드를 분석하여 시사점을 도출하고자 하였다. 연구 분석 방법으로는 한국교육학술정보원 포털을 활용하여 학술지 논문을 수집하고, 수집된 학술논문의 필터링 및 키워드 정제과정을 거쳐 분석자료를 구축하였다. 그리고 키워드 네트워크 관계에 대한 시각화 모델링, 연결정도 중심성 분석, 매개 중심성 분석을 실시하였다. 연결정도 및 매개 중심성 분석 결과, 담보, 논쟁, 수리, 사례, 책임, 결로, 비용, 제도, 기준, 감정이 공동주택 하자 분야에 특징적으로 나타나는 주요 키워드로 분석되었다.