• 한국산학기술학회논문지
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• 제5권1호
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• pp.44-48
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• 2004

본 논문에서는 자연언어 처리 기술인 구문 분석 모듈을 도입해 단어 이상의 단위인 구 단위를 색인과 검색의 단위로 삼는 구 단위 색인 및 검색 기법의 사용을 제안한다. 초기의 정보검색의 방법으로 단일 주제어를 키워드로 색인하여 검색하는 방식이 널리 사용되어 왔으나 문서의 내용을 정확히 표현하기 어렵고 검색 결과의 문서 집합 또한 너무 커서 사용자의 만족도가 낮다 고도의 문서 처리 측면에서는 웹 문서들 자체가 갖는 다양한 오류들로 인해 현실적으로 충분히 만족할 만할 우수한 성능의 구문 분석 모듈이 구현되기는 어려우므로 상향식 구문 분석 모듈을 구현하여 완전한 구문 분석 결과를 얻지 못하는 많은 문장에 대해서도 가능한 구 단위 색인을 이용하여 검색 정확률과 재현률이 향상되고 검색 과정의 처리 부하도 줄이는 장점을 얻는다.

• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.999-1006
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• 2022

The use of appropriate fonts is not only an aesthetic point of view, but also a factor influencing the reinforcement of meaning. However, it is a difficult process and wastes a lot of time for general users to choose a font that suits their needs and emotions. Therefore, in this study, keywords and fonts to be used in the experiment were selected for emotion-based font recommendation, and keyword values for each font were calculated through an experiment to check the correlation between keywords and fonts. Using the experimental results, a prototype of a keyword-based font recommendation system was designed and the possibility of the system was tested. As a result of the usability evaluation of the font recommendation system prototype, it received a positive evaluation compared to the existing font search system, but the number of fonts was limited and users had difficulties in the process of associating keywords suitable for their desired situation. Therefore, we plan to expand the number of fonts and conduct follow-up research to automatically recommend fonts suitable for the user's situation without selecting keywords.

• 아태비즈니스연구
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• 제15권1호
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• pp.305-318
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• 2024

Purpose - The purpose of this study was to conduct a preliminary study to identify key trends on research articles indexed in KCI in relation to tourism in Jeju and sports tourism. Design/methodology/approach - Information regarding research articles focused on Jeju tourism and sports tourism indexed in KCI (145 and 120 articles respectively) were collected and finally abstract written in Korean of 100 and 91 articles on sports tourism and Jeju tourism respectively were chosen for the further analysis after removing redundant articles. R program was used to analyze keyword frequencies, co-occurring terms, and degree/betweeness centrality measures and visualize the keyword network results. Findings - Event, marketing, content, program, implication, service, stadium, and tourism destination have been identified as keywords with highest frequencies among research on sport tourism, whereas tourism destination, image, brand, content, data, Chinese, satisfaction, eco-tourism service, place of arrival were highly appearing terms among research on Jeju tourism. Research implications or Originality - This study highlighted that Jeju has been interlinked with a range of terms such as programs influencing Jeju tourism, natural environment, tourism-related resources (e.g., museums, dramas, etc.), whereas sports has been closely related to sports event and vaiours types of sports (e.g., bicycle, staking, and scuber), but not to Jeju-do.

• 대한안전경영과학회지
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• 제14권3호
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• pp.221-227
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• 2012

This research is a key words analysis on Radio Frequency Identification. Key words were collected from Korean research papers in the electronic library DBpia. 700 papers published from 2001 to 2011 were included. The number of collected key words is 1460. The trend of publishing research papers was increased rapidly from 2005, reached peak at 2009 and decreased after 2010. Majority of key words were related to hardware, information technology and standardization. Selected 128 key words were analyzed and clustered by social network analysis to find a relationship among key words on RFID.

• 기술혁신학회지
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• 제8권2호
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• pp.860-885
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• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• Korean Journal of Mathematics
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• 제29권4호
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• pp.649-664
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• 2021

There have been numerous efforts to provide legal information to the general public easily. Most of the existing legal information services are based on keyword-oriented legal ontology. However, this keyword-oriented ontology construction has a sense of disparity from the relationship between the laws used together in actual cases. To solve this problem, it is necessary to study which laws are actually used together in various judicial precedents. However, this is difficult to implement with the existing methods used in computer science or law. In our study, we analyzed this by using topological data analysis, which has recently attracted attention very promisingly in the field of data analysis. In this paper, we applied the the Mapper algorithm, which is one of the topological data analysis techniques, to visualize the relationships that laws form organically in actual precedents.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.425-434
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• 2007

The sponsored search has become significant channel of online advertising, and the large sized advertisers have appeared, so the sponsored search strategy is becoming more important. Since CPC(Cost-per-Click) advertising has different price according to keyword, it is difficult to manage the a lot of keywords at one time. So, the purpose of this study is to investigate the factors which influence on the cost-per-click of sponsored search advertising. That is, there are four factors: impression, CTR(Click through Rate), conversion rate, and keyword's length. for the regression analysis, we use the actual data which is gotten from an ad agency. The result of that, the impression and keyword's length influence cost-per-click positively. However, CTR & conversion rate have no influence on it unexpectedly.

• Journal of Electrical Engineering and Technology
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• 제11권1호
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• pp.227-233
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• 2016

Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 춘계학술발표대회
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• pp.311-314
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• 2018

최근 '미투운동'이 활발히 진행되면서 새로운 페미니즘의 물결을 맞이하였다. 이전의 페미니즘 운동과의 차이점은 SNS 를 통해 익명으로 활동하며 전파속도가 굉장히 빠르다는 것이다. 본 연구는 미투운동의 이러한 특성을 고려하여 실제 트위터 데이터에서 주요 키워드를 파악하고, 해당 키워드의 연관성 및 네트워크 분석으로 사회적 맥락을 알아본다.

• 디지털융복합연구
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• 제15권10호
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• pp.93-101
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• 2017

본 연구는 도시에 대한 키워드 검색량을 관심의 지표로 보고 검색키워드를 유형화하여 각 유형별 검색량이 페이스북 팬 수 및 관광객 수에 미치는 영향을 고찰하고자 하였다. 위계적 커뮤니케이션 효과 모형에 따르면 커뮤니케이션의 효과는 인지-태도-행동의 순차성을 띄는 것으로 나타난다. 이에 따라 검색행동을 통해 특정 도시에 대한 관여 및 지식이 높아진 관광 소비자가 호감을 느끼게 되면 페이스북 팬페이지 가입을 통해 보다 적극적인 정보탐색을 할 것이며, 직접적인 관광행동으로 이어질 것이라고 예측하였다. 이를 위해 구글 트렌드에 나타난 서울시 관련 검색 키워드의 유형 별 검색량과 서울시 해외 공식 계정인 'Seoul Korea'의 팬 수, 마지막으로 서울시 외국인 관광객 수 간의 영향 관계를 검증하였다. 분석결과, 서울시의 검색 키워드 유형은 관광매력 키워드, 자연환경 키워드, 상징적 키워드, 접근적 키워드로 도출되었으며 그 중 페이스북 팬 수에 영향을 미치는 요인은 관광매력 키워드과 상징적 키워드인 것으로 나타났다. 또, 관광매력 키워드와 상징적 키워드는 서울시 페이스북 팬 수를 매개로 서울시 관광객 수에 영향을 미친다는 결과가 도출되었다. 이러한 결과에 따라, 앞으로의 서울시의 외국인 관광 소비자를 대상으로는 관광매력적인 요소와 한국적인 요소를 강조한 메시지를 소구하는 것이 유효할 것이라는 실무적 함의를 제공할 수 있다.