• 제목/요약/키워드: Search Term Frequency Data

검색결과 22건 처리시간 0.026초

A Research on Difference Between Consumer Perception of Slow Fashion and Consumption Behavior of Fast Fashion: Application of Topic Modelling with Big Data

  • YANG, Oh-Suk;WOO, Young-Mok;YANG, Yae-Rim
    • 융합경영연구
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    • 제9권1호
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    • pp.1-14
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    • 2021
  • Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.

HF-IFF: TF-IDF를 응용한 병증-본초 연관성(relevancy) 측정과 본초 특성의 시각화 -청강의감 방제를 대상으로- (HF-IFF: Applying TF-IDF to Measure Symptom-Medicinal Herb Relevancy and Visualize Medicinal Herb Characteristics - Studying Formulations in Cheongkangeuigam -)

  • 오준호
    • 대한본초학회지
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    • 제30권3호
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    • pp.63-68
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    • 2015
  • Objectives : We applied the term weighting method used in the field of data search to quantify relevancy between symptoms and medicinal herbs, and, based on this, we aim to introduce a method of visualizing the characteristics of medicinal herbs. Methods : We proposed HF-IFF, an adaptation of TF-IDF, which is a term weighting measurement method adapted in the field of data search. Using this method, we deduced relevancy between symptoms and medicinal herbs In Cheongkangeuigam that was published in 1984 by organizing the medical theory of Cheongkang, Kim Younghoon, and visualized this as a graph in order to compare the characteristics of medicinal herbs used for different symptoms. Results : HF-IFF is the product of HF and IFF, where HF is the frequency of the relevant medicinal herb for a set of symptoms, and IFF is the inverse of the number of formulations (FF) containing that herb. A total of 251 types of medicinal herb are used in Cheongkangeuigam, and 1538 formulations are classified according to 67 types of symptom. The overall mean for HF-IFF was 0.491, with a maximum of 4.566 and a minimum of 0.013. Conclusions : In spite of several limitations, we were able to use HF-IFF to measure relevancy between symptoms and medicinal herbs, with formulations as an intermediate. We were able to use the quantified results to visually express the characteristics of the herbs used for symptoms by bubble chart and word-cloud from HF-IFF.

텍스트마이닝을 활용한 패브릭 관련 DIY 의류 상품 현황 연구 (A study on the current status of DIY clothing products related to fabric using text mining)

  • 이은혜;이하은;최정욱
    • 한국의상디자인학회지
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    • 제25권2호
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    • pp.111-122
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    • 2023
  • This study aims to collect Big Data related to DIY clothing, analyze the results on a year-by-year basis, understand consumers' perceptions, the status, and reality of DIY clothing. The reference period for the evaluation of DIY clothing trends was set from 2012 to 2022. The data in this study was collected and analyzed using Textom, a Big Data solution program certified as a Good Software by the Telecommunications Technology Association (TTA). For the analysis of fabric-related DIY products, the keyword was set to "DIY clothing", and for data cleansing following collection, the "Espresso K" module was employed. Also, via data collection on a year-by-year basis, a total of 11 lists were generated and the collected data was analyzed by period. The following are the findings of this study's data collection on DIY clothing. The total number of keywords collected over a period of ten years on search engines "Naver" and "Google" between January 1, 2012 and December 31, 2022 was 16,315, and data trends by period indicate a continuous upward trend. In addition, a keyword analysis was conducted to analyze TF-IDF (Term Frequency-Inverse Document Frequency), a statistical measure that reflects the importance of a word within data, and the relationship with N-gram, an analysis of the correlation concerning the relationship between words. Using these results, it was possible to evaluate the popularity and growing tendency of DIY clothing products in conjunction with the evolving social environment, as well as the desire to explore DIY trends among consumers. Therefore, this study is valuable in that it provides preliminary data for DIY clothing research by analyzing the status and reality of DIY products, and furthermore, contributes to the development and production of DIY clothing.

A Study on the Improving Measures of Private Brand Clothing Products in Domestic Department Stores

  • Kim, Wan-Joo;Kim, Moon-Sook
    • The International Journal of Costume Culture
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    • 제4권1호
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    • pp.44-60
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    • 2001
  • The purpose of this study is to present suggestions to improve the problems the domestic department stores face by analyzing and comparing the status of the development of PB which is absolutely critical for the specialized domestic department stores to survive, and to search for the future course which may lead to boosting sales and profit by developing the strategic PB products. Selected for this study were atotal of 20 PB's out of domestic as well s foreign PB's in the 4 big department stores. The data were analyzed with SAS package employed as per the by items frequency, percent, mean and standard deviation. From the above study, following viewpoints can be taken into account for the future development of PB ; First, the active will of the excutive is basically necessary for successful development of PB, by relying on long-term investment. Second, the existing mid or low-price goods should be in line with the mid or high price one's development for domestic merchandising with focus on middle or high class society. Third, the stock burden, biggest problem of PB, can be solved by discount policy at optimum prices and success rate of merchandising prediction.

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An Exploratory Study of Health Inequality Discourse Using Korean Newspaper Articles: A Topic Modeling Approach

  • Kim, Jin-Hwan
    • Journal of Preventive Medicine and Public Health
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    • 제52권6호
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    • pp.384-392
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    • 2019
  • Objectives: This study aimed to explore the health inequality discourse in the Korean press by analyzing newspaper articles using a relatively new content analysis technique. Methods: This study used the search term "health inequality" to collect articles containing that term that were published between 2000 and 2018. The collected articles went through pre-processing and topic modeling, and the contents and temporal trends of the extracted topics were analyzed. Results: A total of 1038 articles were identified, and 5 topics were extracted. As the number of studies on health inequality has increased over the past 2 decades, so too has the number of news articles regarding health inequality. The extracted topics were public health policies, social inequalities in health, inequality as a social problem, healthcare policies, and regional health gaps. The total number of occurrences of each topic increased every year, and the trend observed for each theme was influenced by events related to its contents, such as elections. Finally, the frequency of appearance of each topic differed depending on the type of news source. Conclusions: The results of this study can be used as preliminary data for future attempts to address health inequality in Korea. To make addressing health inequality part of the public agenda, the media's perspective and discourse regarding health inequality should be monitored to facilitate further strategic action.

아토바스타틴의 새로운 약물 적응증 탐색을 위한 비정형 데이터 분석 (Analysis of Unstructured Data on Detecting of New Drug Indication of Atorvastatin)

  • 정휘수;강길원;최웅;박종혁;신광수;서영성
    • Journal of health informatics and statistics
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    • 제43권4호
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    • pp.329-335
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    • 2018
  • Objectives: In recent years, there has been an increased need for a way to extract desired information from multiple medical literatures at once. This study was conducted to confirm the usefulness of unstructured data analysis using previously published medical literatures to search for new indications. Methods: The new indications were searched through text mining, network analysis, and topic modeling analysis using 5,057 articles of atorvastatin, a treatment for hyperlipidemia, from 1990 to 2017. Results: The extracted keywords was 273. In the frequency of text mining and network analysis, the existing indications of atorvastatin were extracted in top level. The novel indications by Term Frequency-Inverse Document Frequency (TF-IDF) were atrial fibrillation, heart failure, breast cancer, rheumatoid arthritis, combined hyperlipidemia, arrhythmias, multiple sclerosis, non-alcoholic fatty liver disease, contrast-induced acute kidney injury and prostate cancer. Conclusions: Unstructured data analysis for discovering new indications from massive medical literature is expected to be used in drug repositioning industries.

Searching for Ways to Improve Visiting Oral Health Care Services in Korea through Comparison with Japanese System in Long-Term Care Insurance

  • Sang-Hwan Oh;Rumi Nishimura;Soo-Jeong Hwang
    • 치위생과학회지
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    • 제23권2호
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    • pp.154-168
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    • 2023
  • Background: Legal regulations and fees have been established in Korea to provide visiting oral health care services to individuals with long-term care insurance (LTCI). However, beneficiaries of this service are very limited. Therefore, to improve the Korean system we propose a comparative analysis with the Japanese system. Methods: This study is a descriptive analysis based on secondary data, such as statistics, laws, and service record forms from Korea and Japan. The most recent institutional documents were obtained through a Google search. The variables investigated were financial resources of LTCI, co-payment structure, monthly limit of LTCI benefits, care levels of LTCI, service providers, service costs, contents of service, and the number of cases of service. Results: In both Korea and Japan, LTCI is financed through a combination of taxes and insurance premiums. However, the monthly limit for receiving LTCI services in Japan is about 2.4 times higher than in Korea. Visiting medical and dental treatment is also possible in Japan. Furthermore, nursing staff can provide daily oral health care services according to dental hygienists' instruction unlike Korea. Oral health care services in Korea are focused on oral hygiene and prevention of oral diseases, while Japan additionally provides oral function screening, patient education for oral health management, and training for nursing staff to enhance oral function, eating, and swallowing of the patients. Conclusion: We concluded that the possibility of visiting dental treatment, differences in monthly limit of LTCI benefits, oral function assessment and guidance, as well as collaboration with other healthcare professionals contributed to the difference in the frequency of utilization of visiting oral health care services between Korea and Japan.

네트워크 분석을 통한 국내 융합기술 연구동향 분석 (An Analysis on the Trends and Issues of Convergence Technology Research)

  • 임정연
    • 사물인터넷융복합논문지
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    • 제4권1호
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    • pp.23-29
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    • 2018
  • 본 연구는 국내 융합기술 관련 연구물의 네트워크 분석을 통해 연구동향을 파악하고, 연구특성과 구조, 현황을 분석하는데 목적이 있다. 이를 위해 지난 13년(2005년~2018년)동안 연구명에 '융합기술' 단어를 사용한 학술지 177편의 저자키워드 653개에 대한 네트워크 분석을 실시하였다. 연구결과는 다음과 같다. 첫째, 국내 융합기술 연구는 지난 13년 동안 꾸준히 수행되어 왔으며 주로 융합, 디지털, 기술, 예술디자인 분야에서 활발히 이루어졌다. 둘째, 검색어 빈도분석 결과, '융합기술', '기술융합', '융합', '디자인', '융합교육', 'STEAM', '융합연구', '4차 산업혁명', '특허분석' 등이 융합기술의 주요 키워드로 사용되었다. 셋째, 커뮤니티 분석결과, 5개의 커뮤니티가 분류되었고, 검색어의 특성을 반영해 '나홀로 IT', '융합콘텐츠를 활용한 문화산업', '기술혁신과 연구분석', '융합교육', '기술융합과 특허개발'의 주제가 도출되었다. 이러한 연구결과를 통해 미래사회 융합기술교육 연구의 과제와 방향을 제안하였다.

Drought over Seoul and Its Association with Solar Cycles

  • Park, Jong-Hyeok;Chang, Heon-Young
    • Journal of Astronomy and Space Sciences
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    • 제30권4호
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    • pp.241-246
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    • 2013
  • We have investigated drought periodicities occurred in Seoul to find out any indication of relationship between drought in Korea and solar activities. It is motivated, in view of solar-terrestrial connection, to search for an example of extreme weather condition controlled by solar activity. The periodicity of drought in Seoul has been re-examined using the wavelet transform technique as the consensus is not achieved yet. The reason we have chosen Seoul is because daily precipitation was recorded for longer than 200 years, which meets our requirement that analyses of drought frequency demand long-term historical data to ensure reliable estimates. We have examined three types of time series of the Effective Drought Index (EDI). We have directly analyzed EDI time series in the first place. And we have constructed and analyzed time series of histogram in which the number of days whose EDI is less than -1.5 for a given month of the year is given as a function of time, and one in which the number of occasions where EDI values of three consecutive days are all less than -1.5 is given as a function of time. All the time series data sets we analyzed are periodic. Apart from the annual cycle due to seasonal variations, periodicities shorter than the 11 year sunspot cycle, ~ 3, ~ 4, ~ 6 years, have been confirmed. Periodicities to which theses short periodicities (shorter than Hale period) may be corresponding are not yet known. Longer periodicities possibly related to Gleissberg cycles, ~ 55, ~ 120 years, can be also seen. However, periodicity comparable to the 11 year solar cycle seems absent in both EDI and the constructed data sets.

노인 관련 야외운동기구의 국내 특허 등록 동향에 관한 연구 (A Study on the Korean Patent Registration Trend of Outdoor Exercise Equipment for the Elderly)

  • 지동철;장홍영
    • 산업융합연구
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    • 제21권6호
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    • pp.43-51
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    • 2023
  • 본 연구는 노인들이 주로 사용하는 야외운동 기구의 특허 현황을 분석하여 노인들의 건강증진을 위한 기초 자료 활용에 목적이 있다. 특허 검색은 특허청 정보 검색 서비스인 키프리스에서 수집하였다. 검색어는 '야외운동기구'이며, 직접적으로 관련된 특허 157건을 최종 선정하여 분석하였다. 분석 결과 첫째, 시대별 특허 경향은 2007년부터 특허 등록이 시작되었으며, 매년 2-3건의 특허가 등록되었다. 둘째, 발전모듈이 작동하여 전기를 생산할 수 있고, 사용자 운동량에 정보를 제공하거나 특성상 중량추 분실 및 도난과 안전사고 방지 등 무선 통신 이용 운동처방 시스템을 제공하는 스포츠융합 관점의 특허가 조사되었다. 마지막으로 사용자 편의성 제공, 운동기구 사용빈도를 증가시킬 수 있는 운동기구 관련 특허가 조사되었다. 본 연구 결과를 통해 야외운동기구가 점점 노인과 편의성 중심으로 개발된다는 점과 기업 및 공공기관에서 노인 야외운동기구에 관심 확대가 나타나고 있음을 파악하였다. 향후 실용적이고 편리한 야외운동기구 개발을 위하여 특허 추이 분석 이외에 야외 운동기구 활용 운동 프로그램과 연계한 후속적인 연구가 필요하겠다.