• 제목/요약/키워드: Korean WordNet

검색결과 166건 처리시간 0.024초

CM에서 고객만족도에 기반한 추천의향 예측에 관한 연구 (A Study on the Prediction of Referral Intension based on Customer Satisfaction in Construction Management)

  • 정민;이강
    • 한국건설관리학회논문집
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    • 제11권6호
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    • pp.100-110
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    • 2010
  • CM의 특성상 기존고객에 의한 재구매나 기존고객의 추천에 의한 신규고객 유입이 CM서비스의 주요 수주경로라고 볼 때 고객만족과 고객충성도에 대한 연구는 CM기업의 경쟁력을 강화시키는 요인으로 볼 수 있다. 그럼에도 현재 CM이 도입된 지 15년이 지났지만, 그동안 CM분야에서 고객만족도와 고객충성도에 관한 연구는 미미하였다. 본 연구의 목적은 CM서비스에 대한 고객만족도를 기반으로 하여 충성고객을 예측할 수 있는 모델을 구축하는 것이다. 이를 위해 CM서비스를 경험한 135명의 의사결정자를 대상으로 CM서비스에 대한 고객만족도와 고객충성도를 측정하였다. 고객만족도는 건설단계별로 기획단계, 설계단계, 조달단계, 시공단계 및 준공후단계별로 세분화하여 측정하였다. 고객충성도는 NPS(Net Promoter Score, 순고객추천지수) 이론에 근거하여 고객의 추천의향을 측정하였으며 측정결과에 따라 비추천고객, 중립고객, 추천고객으로 분류하여 건설단계별 만족도와 다항 로지스틱 회귀분석을 실시하였다. 연구결과 고객만족도 수준에 따라 비추천고객, 중립고객, 추천고객을 예측할 수 있는 모델을 구축하였다. 또한 프로젝트 초기단계인 기획단계 만족도가 추천고객을 형성하는 데 가장 큰 영향력 있는 요인으로 나타났다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 프로젝트 진행과정에서 고객의 만족도를 관리함으로써 충성고객을 확보하는데 사전 예측자료로 활용될 수 있다.

텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로 (Analysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions)

  • 유소연;임규건
    • 지능정보연구
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    • 제27권1호
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    • pp.47-64
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    • 2021
  • 전 세계적으로 퍼진 코로나 19 상황은 우리의 일상생활의 많은 부분에 영향을 끼쳤을 뿐만 아니라, 경제·사회 등 많은 부분에 걸쳐 막대한 영향력을 미치고 있다. 확진자와 사망자 수가 증가함에 따라 의료진과 대중은 불안, 우울, 스트레스 등 심리적인 문제를 겪고 있다고 한다. 장기적인 부정적인 감정은 사람들의 면역력을 감소시키고 신체적인 균형을 파괴할 수도 있으므로 코로나 19로 인한 심리적인 상태를 이해하는 것이 필수적인 상황이다. 본 연구에서는 코로나 19 감정과 관련된 뉴스 데이터를 수집하여, 텍스트 마이닝을 통해 키워드를 분류하고, 키워드 사이의 의미 네트워크 분석을 통해 단어들의 관계를 시각화하였다. 코로나 감정과 관련된 기사의 키워드에 나타난 단어들의 빈도수를 확인하고 이를 워드 클라우드로 분석하였다. 키워드 빈도 분석 결과 코로나 19 감정과 관련하여 '중국', '불안', '상황', '마음', '사회', '건강'과 같은 단어의 빈도가 높게 나타난 것을 확인할 수 있었다. 각 데이터 간 연결 중심성을 분석한 결과 키워드 중심성 네트워크에서 가장 중심적인 핵심어는 '심리'와 '코로나 19', '블루', '불안'이라는 단어가 높은 연결 중심성을 가지는 것을 확인할 수 있었다. 기사의 헤드라인에 나타난 주요 핵심어 사이의 동시 출현 빈도 네트워크를 그래프로 시각화한 결과, '코로나-블루' 쌍이 가장 굵게 표시되었고, '코로나-감정', '코로나-불안' 쌍이 비교적 굵은 선으로 표시된 것을 알 수 있었다. 코로나와 관련된 '블루'는 우울증을 의미하는 단어로, 코로나와 우울증은 이제 관심을 가져야 할 키워드임을 확인할 수 있었다. 본 연구에서는 장기화한 코로나 19 상황에서 신체적인 방역뿐만 아니라 심리적인 방역에도 힘써야 할 이 시기에 보건 정책담당자가 빠르고 복잡한 의사결정 과정에 도움이 되고자 미디어 뉴스를 모니터링 함으로써, 더욱더 쉬운 소셜 미디어 네트워크 분석 방법을 제시하고자 한다.

언어네트워크 분석을 적용한 국가직무능력표준(NCS) 연구 동향 분석 (Analysis on the Trends of Studies Related to the National Competency Standard in Korea throughout the Semantic Network Analysis)

  • 임윤진;손다미
    • 대한공업교육학회지
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    • 제41권2호
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    • pp.48-68
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    • 2016
  • 이 연구의 목적은 국가직무능력표준(NCS) 관련 연구 동향에 대하여 언어네트워크 분석을 적용하여 연구 핵심어의 구명 및 핵심어간의 연결 속성, 그리고 핵심어간의 확장에 대해 살펴보고 향후 NCS관련 연구의 발전 방안에 대하여 모색하고자 수행되었다. 이 연구의 대상은 한국교육학술정보원에서 제공하는 학위논문 및 학술지 논문지 가운데 국가직무능력표준 또는 NCS를 키워드로 하는 논문이며, 총 345편의 논문으로 선정하였다. 연구동향의 분석 방법으로는 언어네트워크 분석방법을 적용하였으며, 이를 위하여 논문의 제목에 나타난 용어에서 핵심어를 도출하였다. 빈도분석을 위하여 KrKwic을 사용하였으며, 연결망 분석을 위하여 UCINET6.0, 연결망의 시각화를 위하여 NetDraw를 활용하였다. 이 연구를 통해 도출된 결과를 제시하면 다음과 같다. 첫째, 국가직무능력표준(NCS) 관련 연구는 2002년부터 시작되어 점진적으로 증가되어 오다가 2014년 이후 큰 폭의 성장세를 이루고 있다. 둘째, 키워드 네트워크 분석 결과 '국가직무능력표준(NCS), 개발, 교육과정, 분석, 활용, 직무, 대학, 교육' 등이 중점 키워드로 나타났다. 셋째, 국가직무능력표준(NCS) 관련 연구의 하위 군집분석 결과 4개의 군집으로 분류되었으며 이는 '국가직무능력표준(NCS)의 취지와 목적을 실현하기 구체적인 전략 등에 관한 연구', '국가직무능력표준(NCS)을 활용하여 직업기초능력 향상과 대학생의 취업 관련 가능성에 탐색적 연구', '전문대학 중심의 전문교과의 교육과정 및 개편을 위한 실무적 연구', '고등학교 수준의 직업교육과정에 요구 및 인식에 관한 분석'으로 볼 수 있었다. 넷째, 국가직무능력표준(NCS)에 관한 국내 연구물의 키워드간의 연결 형성과정은 '직무${\rightarrow}$직무능력${\rightarrow}$국가직무능력표준(NCS)${\rightarrow}$교육${\rightarrow}$과정, 교육과정${\rightarrow}$개발, 대학${\rightarrow}$분석, 활용${\rightarrow}$자격, 적용, 개선${\rightarrow}$방안, 운영, 산업${\rightarrow}$설계${\rightarrow}$평가'의 형태로 확장되고 있었다.

생사의 포합향상에 관한 연구 (Studies on Raw Silk Cohesion for Promotion)

  • 최병희;김병호;원성희
    • 한국잠사곤충학회지
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    • 제15권1호
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    • pp.37-48
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    • 1973
  • The purpose of this studies is to improve the cohesion of raw silk through various analyses on cocoon drying, cooking, reeling, re-reeling, and on the properties of water. Also we investigated the correlation between silk testing items which we have reached to the following results. 1. Drying of cocoon When cocoons were slowly dried with 100$^{\circ}C$, the results of cohesion became much better. On the other hand, the results were considerably decreased in case the temperature with 115$^{\circ}C$. 2. Cooking of cocoon In case of the cooking of cocoon, we found that the result of cohesion was best with incomplete cooking, that of the control was next, while in over cooking, the results were very low. Also the results of cohesion were much better when using the method of over cooking with sericin arrestive agent than that of incomplete cooking with sericin agglutinating agent. 3. Reeling of cocoon A) When the temperature of reeling bath was 25-45$^{\circ}C$, the results of cohesion test were much better, but at the temperature below 25$^{\circ}C$ or above 45$^{\circ}C$, the results became worse. B) With out the process of croissieur, the results of cohesion were too bad, but in case of croissieur more than 1cm, cohesion became better rapidly. Further more, we understood that the results of cohesion were improving slightly with longer length of croissieur. C) When the velocity of reeling was increased, the results of cohesion also improved. The best results were shown when reeling velocity was 180-220 r.p.m. But when the velocity was increased more than 220 r.p.m., the results of cohesion got worse more or less. D) When the temperature of the drying pipe in reeling machine was raised, the results of cohesion also showed a tendency to improve. 4. Re-reeling A) We could net reach a conclusion as to have correlation between the number of dipping repeat in vacuum tank and the results of cohesion before re-reeling process. B) When we used Seracol 500 as an agglutination protective agent with l/1000 to l/2000 of water, the results of cohesion test were better. C) When we used Pearl-lite as an agglutination protective agent with 1/1000 to 1/2000 of water, the results of cohesion were considerably better. D) We gained tile best results when used Cohesion Improving Chemical, A-80, with 500-1500 times diluted. 1) Results of cohesion was improved when humidity was low or temperature was high in the rereeling machine. 5. Filature water A) The water pH near the isoelectric point of protein showed the best cohesion, but the farther water pH, the worser results were obtained. B) With the increasing of M-alkalinity in filature water, the results of cohesion were worse. Above all, we understood the tendency of the results of cohesion get worse when the M-alkalinity is increased above 200 ppm. C) By increasing the total hardness of the filature water, it improved the results of cohesion. Especially, when the total hardness was above 300ppm, the results were extremely high. 6. Effects combination of each results A) The result of effects combination in filature processes with the obtained best conditions was distinctively improved. But the results could not reach in mathematicaly double effect. When reelied under worse conditions, the results of cohesion test were too bad. There was "effect limit" for the promotion. B) Generally the results of cohesion were bad when the filature conditions(the temperature, pressure and the properties of water, etc) are processed as sericin loss to be high. On the other hand, the results were very good when lower sericin loss was controlled in filature conditions. C) When filature conditions such as reeling velocity and croissieur length provide pysical cohesion ability and when raw silk dry fast during reeling and re-reeling, we found the result of cohesion was better. 7. Correlation of silk testing items. A) A negative correlation exists between the results of cohesion test and cleanness defect. Another word, the result of cohesion test was found to be worse as cleanness defect increased. B) In cleanness, cohesion has negative correlation against the number of slugs, but we could not find any correlation against long loops, loose ends. C) Cohesion has negative correlation against average neatness and low neatness defect. The better the results of neatness respectively, the better the results of cohesion found. D) There is no correlation between tenacity and the results of cohesion test, but there was high positive correlation between the results of elongation and those of cohesion test. The more elongation, the better the results of cohesion was found.

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A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • 유통과학연구
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    • 제8권3호
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    • pp.49-56
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    • 2010
  • At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.

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지능형 검색엔진을 위한 색상 질의 처리 방안 (Color-related Query Processing for Intelligent E-Commerce Search)

  • 홍정아;구교정;차지원;서아정;여운영;김종우
    • 지능정보연구
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    • 제25권1호
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    • pp.109-125
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    • 2019
  • 지능형 전자상거래 검색 엔진에 대한 관심이 커지면서, 검색 상품의 특징을 지능적으로 추출하고 활용하기 위한 연구들이 수행되고 있다. 특히 전자상거래 지능형 검색 엔진에서 상품을 검색 할 때, 제품의 색상은 상품을 묘사하는 중요한 특징 중에 하나이다. 따라서 사용자의 질의에 정확한 응답을 위해서는 사용자가 검색하려는 색상과 그 색상의 동의어 및 유의어에 대한 처리가 필요하다. 기존의 연구들은 색상 특징에 대한 동의어 처리를 주로 사전 방식으로 다뤄왔다. 하지만 이러한 사전방식으로는 사전에 등록되지 않은 색상 용어가 질의에 포함된 경우 처리하지 못하는 한계점을 가지고 있다. 본 연구에서는 기존에 사용하던 방식의 한계점을 극복하기 위하여, 실시간으로 인터넷 검색 엔진을 통해 해당 색상의 RGB 값을 추출한 후 추출된 색상정보를 기반으로 유사한 색상명들을 출력하는 모델을 제안한다. 본 모델은 우선적으로 기본적인 색상 검색을 위해 671개의 색상명과 각 RGB값이 저장된 색상 사전을 구축하였다. 본 연구에서 제시한 모델은 특정 색상을 검색하는 것으로 시작하며, 검색된 색상이 색상 사전 내 존재하는 지 유무를 확인한다. 사전 내에 검색한 색상이 존재한다면, 해당 색상의 RGB 값이 기준 값으로 사용된다. 만일 색상사전 내에 존재하지 않는다면, Google 이미지 검색 결과를 크롤링하여 각 이미지의 특정 영역 내 RGB값들을 군집화하여 구한 평균 RGB값을 검색한 색상의 기준 값으로 한다. 기준 RGB값을 앞서 구축한 색상 사전 내의 모든 색상의 RGB 값들과 비교하여 각 R, G, B 값에 있어서 ${\pm}50$ 내의 색상 목록을 정렬하고, RGB값 간의 유클리디안 거리 유사도를 활용하여 최종적으로 유사한 색 상명들을 출력한다. 제안 방안의 유용성을 평가하기 위해 실험을 진행하였다. 피설문자들이 생각하는 300 개의 색상 이름과 해당 색상 값을 얻어, 본 연구에서 제안한 방안을 포함한 총 네가지 방법을 통해 얻은 RGB 값들과 피설문자가 지정한 RGB값에 대한 비교를 진행했다. 인간의 눈을 반영하는 측정 기준인 CIELAB의 유클리드안거리는 평균 13.85로 색상사전만을 활용한 방안의 30.88, 한글 동의어사전 사이트인 워드넷을 추가로 활용한 방안의 30.38에 비해 비교적 낮은 색상 간의 거리 값을 보였다. 연구에서 제시하는 방안에서 군집화 과정을 제외한 방안의 색 차는 13.88로 군집화 과정이 색 차를 줄여준다는 것을 확인할 수 있었다. 본 연구에서는 기존 동의어 처리 방식인 사전 방식이 지닌 한계에서 벗어나기 위해, 사전 방식에 새로운 색상명에 대한 실시간 동의어 처리 방식을 결합한 RGB값 기반의 새로운 색상 동의어 처리 방안을 제안한다. 본 연구의 결과를 활용하여 전자상거래 검색 시스템의 지능화에 크게 기여할 수 있을 것이다.