• 제목/요약/키워드: Web text

검색결과 815건 처리시간 0.025초

Mobile Web-based Education: Engagement and Satisfaction with HiChart among Pregnant Women

  • Kim, Hyo Jin;Kang, Hee Sun
    • Child Health Nursing Research
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    • 제25권3호
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    • pp.303-311
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    • 2019
  • Purpose: This study aimed to examine engagement and satisfaction with a mobile web-based education program (HiChart) among pregnant women. Methods: A cross-sectional descriptive study was conducted of 97 pregnant women hospitalized for obstetric care. Data were collected from October 1 to November 30, 2016, and were analyzed with descriptive statistics. Results: Among participants, 16.5% engaged fully with HiChart, while 43.3% engaged partially. The overall satisfaction with HiChart was high. Some main reasons for not engaging with the education were participants' unawareness of the text messages, lack of time, and poor internet connection. The participants suggested that more educational content needed to be covered, such as coping with infant emergencies and information about the neonatal intensive care unit. Conclusion: To increase pregnant women's engagement with mobile web-based education, efforts are needed to strengthen the system of sending text messages as part of mobile web-based education to all patients, to inform pregnant women that an educational web link was sent, and to encourage them to engage with mobile web-based education. Furthermore, it is essential to improve the HiChart service by providing educational content corresponding to users' needs.

Automatic In-Text Keyword Tagging based on Information Retrieval

  • Kim, Jin-Suk;Jin, Du-Seok;Kim, Kwang-Young;Choe, Ho-Seop
    • Journal of Information Processing Systems
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    • 제5권3호
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    • pp.159-166
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    • 2009
  • As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

부채꼴 모델에 기반한 CSS3 극좌표계 서식 모듈의 설계 (Design of CSS3 Polar-Coordinate Layout Module based on Fan Model)

  • 심승민;임순범
    • 한국멀티미디어학회논문지
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    • 제22권2호
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    • pp.299-310
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    • 2019
  • Most web documents are written in Cartesian coordinates, so the study of vertical arrangement of text has been well organized, while the study of circular arrangement is very early. With the recent development of circular display devices, the demand for circular arrangement of texts is increasing. Thus, we proposed a CSS3 extended specification of polar coordinate layout for the circular placement of text. First, we defined the concept of fan model for the text arrangement in polar coordinate which is corresponding to box model in Cartesian coordinate. And, we described new definition on the directions of sentence, paragraph and text orientation in polar coordinate. Based on this new definitions, we developed the extended specification consisting of three parts. A part for setting the fan model, a part for setting directions, and a part for setting typesetting properties. To verify the feasibility of the proposed specification in current web browsers, a preprocessor was developed and sample contents were examined. We compared the code length of the sample contents implemented using other JavaScript library CssWarp.js so as to verify the efficiency of the proposed specification.

웹 애플리케이션 기반의 텍스트 데이터 분석 모델 (Text Data Analysis Model Based on Web Application)

  • 진고환
    • 한국콘텐츠학회논문지
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    • 제21권11호
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    • pp.785-792
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    • 2021
  • 4차 산업혁명 이후 인공지능, 빅 데이터와 같은 기술들의 발전으로 사회 전반에 다양한 변화가 일어나고 있으며, 핵심적인 기술 적용 과정에서 수집할 수 있는 데이터의 양도 급속하게 증가하고 있는 추세이다. 특히 학계에서는 연구 동향을 파악하기 위하여 기존에 생성된 문헌 데이터에 대한 분석이 이루어지고 있으며, 이러한 문헌 분석은 연구의 흐름을 정리하고, 어떤 연구 방법론이나 주제, 또는 현재 학계에서 화두가 되고 있는 대상에 대한 파악을 통하여 향후 연구 방향 설정에 많은 기여를 하고 있는 상황이다. 그러나 문서 데이터의 분석을 위하여 데이터 수집이 필요하나, 일반적으로 프로그램에 대한 전문 지식이 없는 경우 접근하기 어렵다. 본 논문에서는 텍스트 마이닝 기반의 토픽 모델링 웹 애플리케이션 모델을 제안한다. 제안 모델을 통하여 데이터 분석 기법에 대한 전문적인 지식이 부족하더라도, 연구 논문의 수집, 저장, 텍스트 분석과 같은 다양한 작업을 진행할 수 있으며, 연구자들이 선행 연구 분석과 연구 동향을 파악하기 위하여 데이터 분석에 투입되는 시간 및 노력을 단축시킬 수 있을 것으로 기대된다.

Context-based classification for harmful web documents and comparison of feature selecting algorithms

  • Kim, Young-Soo;Park, Nam-Je;Hong, Do-Won;Won, Dong-Ho
    • 한국멀티미디어학회논문지
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    • 제12권6호
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    • pp.867-875
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    • 2009
  • More and richer information sources and services are available on the web everyday. However, harmful information, such as adult content, is not appropriate for all users, notably children. Since internet is a worldwide open network, it has a limit to regulate users providing harmful contents through each countrie's national laws or systems. Additionally it is not a desirable way of developing a certain system-specific classification technology for harmful contents, because internet users can contact with them in diverse ways, for example, porn sites, harmful spams, or peer-to-peer networks, etc. Therefore, it is being emphasized to research and develop context-based core technologies for classifying harmful contents. In this paper, we propose an efficient text filter for blocking harmful texts of web documents using context-based technologies and examine which algorithms for feature selection, the process that select content terms, as features, can be useful for text categorization in all content term occurs in documents, are suitable for classifying harmful contents through implementation and experiment.

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Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining

  • Shuting, Tao;Kang, Byongnam;Kim, Hak-Seon
    • 한국조리학회지
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    • 제24권2호
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    • pp.34-43
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    • 2018
  • The objective of this study was to acquire a general and text-based awareness and recognition of cruise food hygiene through big data analytics. For the purpose, this study collected data with conducting the keyword "food hygiene, cruise" on the web pages and news on Google, during October 1st, 2015 to October 1st, 2017 (two years). The data collection was processed by SCTM which is a data collecting and processing program and eventually, 899 kb, approximately 20,000 words were collected. For the data analysis, UCINET 6.0 packaged with visualization tool-Netdraw was utilized. As a result of the data analysis, the words such as jobs, news, showed the high frequency while the results of centrality (Freeman's degree centrality and Eigenvector centrality) and proximity indicated the distinct rank with the frequency. Meanwhile, as for the result of CONCOR analysis, 4 segmentations were created as "food hygiene group", "person group", "location related group" and "brand group". The diagnosis of this study for the food hygiene in cruise industry through big data is expected to provide instrumental implications both for academia research and empirical application.

웹 스크래핑과 텍스트마이닝을 이용한 공공 및 민간공사의 사고유형 분석 (A Study on the Analysis of Accident Types in Public and Private Construction Using Web Scraping and Text Mining)

  • 윤영근;오태근
    • 문화기술의 융합
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    • 제8권5호
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    • pp.729-734
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    • 2022
  • 건설업의 사고원인 파악을 위해 사고사례를 이용한 다양한 연구가 진행되고 있지만, 공공 및 민간공사의 차이점에 대한 연구는 미미한 실정이다. 본 연구에서는 발주 유형별 사고원인 분석을 위해 웹 스크래핑과 텍스트 마이닝 기술을 적용하였다. 수집된 10,000건 이상의 정형 및 비정형 데이터에 대한 통계분석과 워드클라우드 분석을 통해 공공 및 민간공사의 사고유형과 사고원인에 대한 차이가 확인되었다. 또한, 주요 사고원인들의 상관관계를 파악함으로써 향후 안전관리 대책 수립에 기여할 수 있다.

인터넷 텍스트분석을 통한 대운하 유산 관광객 인식에 관한연구 : 소주시 평강역사 문화거리를 예로 들다 (A Study on the Perception of Grand Canal Heritage Visitors Based on Web Text Analysis:The Pingjiang Historical and Cultural District of Suzhou City as an example)

  • 중청강;징치웨이;남경현
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제67차 동계학술대회논문집 31권1호
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    • pp.437-438
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    • 2023
  • This paper takes the Pingjiang historical and cultural district of Suzhou city as an example, collects 1439 visitor review data from Ctrip.com with the help of Python technology, and uses web text analysis to conduct research on high-frequency words, semantic networks and emotional tendencies to comprehensively assess the tourist perception of the Grand Canal heritage. The study found that: natural and humanistic landscape, historical and cultural accumulation, and the style of Jiangnan Canal are fully reflected in the tourists' perception of Pingjiang historical and cultural district; tourists hold strong positive emotion towards Pingjiang Road, however, there is still more room for renovation and improvement of the historical and cultural district. Finally, countermeasure suggestions for improving the tourist perception of the Grand Canal heritage are given in terms of protection first, cultural integration and innovative utilization.

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TTS를 이용한 매장 음악 방송 서비스 시스템 구현 (Implementation of Music Broadcasting Service System in the Shopping Center Using Text-To-Speech Technology)

  • 장문수;강선미
    • 음성과학
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    • 제14권4호
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    • pp.169-178
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    • 2007
  • This thesis describes the development of a service system for small-sized shops which support not only music broadcasting, but editing and generating voice announcement using the TTS(Text-To-Speech) technology. The system has been developed based on web environments with an easy access whenever and wherever it is needed. The system is able to control the sound using silverlight media player based on the ASP .NET 2.0 technology without any additional application software. Use of the Ajax control allows for multiple users to get the maximum load when needed. TTS is built in the server side so that the service can be provided without user's computer. Due to convenience and usefulness of the system, the business sector can provide better service to many shops. Further additional functions such as statistical analysis will undoubtedly help shop management provide desirable services.

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'확률과 통계'교육을 위한 전자교재 개발에 관한 연구 (A Study on Electronic Text Development for Probability and Statistical Education)

  • 최숙희
    • 컴퓨터교육학회논문지
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    • 제5권4호
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    • pp.111-121
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    • 2002
  • 컴퓨터와 네트워크의 급속한 발달로 인터넷 사용자가 급증하면서 모든 분야에서 정보전달 매체로서 웹의 활용이 보편화되고 있다. 교육적인 측면에서도 기존의 교실에서의 수업이나 인쇄매체를 통한 교육의 대체매체로서 웹의 활용에 대한 관심이 증대하고 있다. 본 연구에서는 7차 고등학교 수학과 교육과정에서 독자적인 영역으로 새로 분리된 '확률과 통계' 영역에 대해 웹상에서 활용가능한 교육용 전자교재의 구현사례를 제시한다. 확률의 계산이나 통계치의 계산 등과 같은 수리연산보다는 응용학문으로서의 확률과 통계의 개념과 원리의 이해에 중점을 두어 개발하였다.

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