• Title/Summary/Keyword: and Content analysis

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상업·정보계 고등학교 '컴퓨터 일반' 교과서의 분석 (The Analysis of 'General Computer' Textbooks in Commerce·Information High Schools)

  • 강오한
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제1권1호
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    • pp.21-28
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    • 2012
  • 본 논문에서는 내용 분석법(content analysis)과 Romey의 분석법을 적용하여 상업 정보계 고등학교 '컴퓨터 일반' 교과서를 분석하였다. 내용 분석법으로 교과서의 구성 체계와 내용을 분석하였으며, Romey의 분석법으로 4개의 분석요소인 본문, 자료, 활동, 평가에 대한 탐구적 경향을 판별하였다. 내용 분석법을 적용한 결과, 교과서를 구성하는 중영역의 수, 영역별 페이지 수, 영역별 개념의 수에서 교과서별로 차이가 있는 것으로 나타났다. Romey의 분석법을 적용한 결과, 교과서 본문은 탐구적 경향이 낮은 형태로 기술되었으며, 학습 자료와 활동은 각각 1권, 평가는 2권의 교과서가 탐구적 경향이 높게 구성된 것으로 확인되었다. 본 논문에서는 분석 결과를 바탕으로 '컴퓨터 일반' 교과서의 개선 방안을 제안하였다.

지역마케팅 콘텐츠의 사용자 반응패턴과 품질특성에 관한 탐색적 분석: 지방자치단체가 운영하는 SNS를 중심으로 (An Exploratory Analysis on the User Response Pattern and Quality Characteristics of Marketing Contents in the SNS of Regional Government)

  • 정연수;정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제26권4호
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    • pp.419-442
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    • 2017
  • Purpose The purpose of this study is to explore the pattern of user response and it's duration time through social media content response analysis. We also analyze the characteristics of content quality factors which are associate with the user response pattern. The analysis results will provide some implications to develop strategies and schematic plans for the operator of regional marketing on the SNS. Design/methodology/approach This study used mixed methods to verify the effects and responses of social media contents on the users who have concerns about regional events such as local festival, cultural events, and city tours etc. Big data analysis was conducted with the quantitative data from regional government SNSs. The data was collected through web crawling in order to analyze the social media contents. We especially analyzed the contents duration time and peak level time. This study also analyzed the characteristics of contents quality factors using expert evaluation data on the social media contents. Finally, we verify the relationship between the contents quality factors and user response types by cross correlation analysis. Findings According to the big data analysis, we could find some content life cycle which can be explained through empirical distribution with peak time pattern and left skewed long tail. The user response patterns are dependent on time and contents quality. In addition, this study confirms that the level of quality of social media content is closely relate to user interaction and response pattern. As a result of the contents response pattern analysis, it is necessary to develop high quality contents design strategy and content posting and propagation tactics. The SNS operators need to develop high quality contents using rich-media technology and active response contents that induce opinion leader on the SNS.

How Content Affects Clicks: A Dynamic Model of Online Content Consumption

  • Inyoung Chae;Da Young Kim
    • Asia pacific journal of information systems
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    • 제31권4호
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    • pp.606-632
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    • 2021
  • With many consumers being exposed to news via social media platforms, news organizations are challenged to attract visitors and generate revenue during visits to their websites. They therefore need detailed information on how to write articles and headlines to increase visitors' engagement with the content to drive advertising revenues. For those news organizations whose business model depends mainly on advertisements, rather than subscriptions, it is particularly crucial to understand what makes the website attractive to their visitors, what drives users to stay on the website, and what factors affect a user's exit decision. The current research examines individual news consumers' choices to find patterns of increase or decrease in user engagement relative to a variety of topics, as well as to the mood or tone of the content. Using clickstream data from a major news organization, the authors develop a user-level dynamic model of clickstream behavior that takes into account the content of both headlines and stories that visitors read. The authors find that readers appear to exhibit state dependence in the tone of the articles that they read. They also show how the topics expressed in headlines can affect the amount of content readers consume when visiting the news organization to a much larger degree than the topics expressed in the content of the article. Online publishers can make use of such findings to present visitors with content that is likely to maintain and/or increase their engagement and consequently drive advertising revenue.

Analysis of Diesel Combustion Flames with Highly Oxygenated Fuels

  • Kim Bong-Seock;Ogawa Hideyuki
    • Journal of Advanced Marine Engineering and Technology
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    • 제29권6호
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    • pp.662-670
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    • 2005
  • With highly oxygenated fuels the smoke emissions decreased sharply and linearly with increases in the fuel oxygen content and entirely disappeared at an oxygen content of $38wt-\%$ even at stoichiometric mixture conditions The NOx also decreased monotonically with increases in oxygen content. and thermal efficiency slightly improved because of a reduction in cooling loss and improvement in the degree of constant volume combustion. The mechanisms of the significant reductions in emissions and improvement in engine performance were analyzed with a bottom view type DI diesel engine. Together with direct flame images, flame images were taken through an optical fetter passing only two wavelengths for use in 2-D two-color analysis. The results showed that luminous flame decreased significantly with increases in oxygen content and was not detected for neat dimethoxy methane(DMM). The decrease in flame luminosity with highly oxygenated fuels corresponds with decreases in soot and cooling losses, including those due to heat radiation. The 2-D two-color flame analysis indicated that the high temperature flame and high KL factor areas apparently decreased with increasing fuel oxygen content. These results correspond strongly with decreases in NOx. smoke. and cooling loss with increases in oxygen content.

A Study on Influencer Food-Content Sentiment Keyword Analysis using Semantic Network based on Social Network

  • Ryu, Gi-Hwan;Yu, Chaelin;Lee, Jun Young;Moon, Seok-Jae
    • International journal of advanced smart convergence
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    • 제11권2호
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    • pp.95-101
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    • 2022
  • The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

초등학교 통합 교과서의 다문화요소분석 - 1, 2학년 통합 교과서를 중심으로 - (Analysis of Multicultural Factors in Integrated Textbook for Elementary School- Around the First and Second Grades)

  • 강현주;김치용
    • 한국멀티미디어학회논문지
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    • 제21권10호
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    • pp.1221-1235
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    • 2018
  • This study aims to analyze the multicultural content of the Korean Elementary School Textbook revised in 2015. This study abstracted the framework of multicultural factors for analysis of multicultural contents from the research on "Revision Guidelines by Analysis of Multicultural Factors in Secondary Curriculum and Textbook". The analyzed textbook is the integrated winter textbooks for both the first and second grades revised curriculum in 2015. Several findings were represented as follows: first, the frequency of multicultural content displayed five times in first grade and nineteen times in second grade respectively. Second, the analyzed textbooks did not include contents directly associated with multiculturalism. Activities and experience is important in the acceptance of unfamiliar cultures Thus, multicultural contents' frequency of within textbooks is very crucial. Finally, the revised curriculum focused on activities and experiences about the theme and content in the textbook and was developed around block chassis. For teaching the textbook content, teachers must perfectly understand textbooks through teacher training. The textbooks of reflecting right values on multiculturalismIn. this respect, elementary school curriculum and textbook content should be improved by supplementary revision fitting for the growth of humanity in the multicultural era.

요인분석을 이용한 벼 도복 특성 분석 (Characterization of Rice lodging by Factor analysis)

  • 서영진;허민순;김창배;이동훈;최정;김찬용
    • 한국토양비료학회지
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    • 제34권3호
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    • pp.173-177
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    • 2001
  • This study was conducted to investigate a potential utilitization of multivariate statistical analysis(Factor analysis, Discrimination analysis) on interpretation of rice plant lodging reason. Rice plants were sampled in paddy around Taegu city at from 25 to 29 of September in 2000. Mineral nutrient content(phosphate, potassium) of rice plant were significantly higher at 99% level, Silicate content were lower at 95% level in lodged samples than in normal. Plant characteristics associate with lodging(Culm length, second and third internode length, bight of center gravity) were significantly longer in lodged rice plant than in non lodged. Result of Factor analysis were that first principle component were culm length, second(N2) and third internode length(N3), second principle component were Ca content, first internode length(N1) and N3/culm length, third principle component were center gravity length(G) and G/culm length, fourth were nitrogen, phosphate, and potassium content, fifth were N2/culm length, N2+N3/culm length, Sixth was silicate content of rice plant. Linear discriminant equation distinguished lodged rice plants with non lodged rice plants very well. Prediction value was 100%, most explainable variable were phosphate content, culm length and third length.

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An NLP-based Mixed-method Approach to Explore the Impact of Gratifications and Emotions on the Acceptance of Amazon Go

  • Arghya Ray;Subhadeep Jana;Nripendra P. Rana
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.541-572
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    • 2023
  • Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.

Effect of water distribution on shear strength of compacted loess

  • Kang-ze, Yuan;Wan-kui, Ni;Xiang-fei, Lu;Hai-man, Wang
    • Geomechanics and Engineering
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    • 제31권5호
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    • pp.519-527
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    • 2022
  • Shear failure in soil is the primary cause of most geotechnical structure failures or instability. Soil water content is a significant factor affecting soil shear strength. In this study, the shear strength of samples with different water contents was tested. The shear strength, cohesion, and internal friction angle decreased with increasing water content. Based on the variation of cohesion and internal friction angle, the water content zone was divided into a high-water content zone and low-water content zone with a threshold water content of 15.05%. Cohesion and internal friction angle have a good linear relationship with water content in both zones. Environmental Scanning Electron Microscopy (ESEM) test presented that the aggregates size of the compacted loess gradually increases with increasing water content. Meanwhile, the clay in the compacted loess forms a matric that envelops around the surface of the aggregates and fills the inter-aggregates pores. A quantitative analysis of bound water and free water under different water contents using a nuclear magnetic resonance (NMR) test was carried out. The threshold water content between bound water and free water was slightly below the plastic limit, which is consistent with the results of shear strength parameters. Combined with the T2 distributions obtained by NMR, one can define a T2 relaxation time of 1.58 ms as the boundary point for bound water distribution without free water. Finally, the effects of bound water and free water on shear strength parameters were analyzed using linear regression analysis.

신문기사를 통해 본 이혼 양상에 대한 내용분석(II) - $1940\~1990$년대 조선$\cdot$동아일보를 중심으로 (Content Analysis of Newspapaer Articles on Divorce(II) - Focusing on Chosun and Donga from the 1940's to 1990's -)

  • 이강이;최혜영
    • 대한가정학회지
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    • 제43권9호
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    • pp.129-141
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    • 2005
  • In this study, the major tendencies of divorce as represented in articles of Korea's major daily newspapers from the 1940's to the 1990's were explored. The method used for this study was content analysis, and 1,741 articles related to divorce were selected for analysis from the Chosun and Donga. The main categories and subcategories were classified as attitude toward divorce(negative, accepting, neutral), present condition of divorce(statistics, survey, analysis), cause of divorce(marital conflict, conflict with family, health-related troubles, financial troubles, and others), and information offered about divorce(related-laws, prevention and adaptation, and others). The major findings of this study were as follows. 1) The most frequently found category was information offered about divorce, and the following categories were featured in the newspapers in the order of cause of divorce, present condition of divorce, and attitude toward divorce. 2) The major discussions of divorce as represented in articles of Korea's daily newspapers from the 1940's to 1990's have been reflecting the changes of related laws, policy and legislation in our society. 3) The content analysis of newspaper articles on divorce indicated that concepts of marriage, divorce and family in our society have been diversified.