• 제목/요약/키워드: content words

검색결과 579건 처리시간 0.034초

부부의 언어 측정을 위한 척도개발 : 공유시간, 서비스, 인정, 선물, 신체접촉 (Scale Development for Measuring of the Couple's Languages : Quality time, Acts of Service, Words of Affirmation, Receiving Gifts, and Physical Touch)

  • 한경미
    • 한국가정과학회지
    • /
    • 제1권2호
    • /
    • pp.1-11
    • /
    • 1998
  • The purpose of this study was to develope the scale for measuring the five languages of couples. A 50 item instrument was analyzed with responses from 100 persons(50 couples) dwelling in Kwangju. Data were analyzed by the method of Pearson's Cronbach' $\alpha$ test. Items were loaded five categories such as quality time, words of affirmation, receiving gift, acts of service and physical touch. The test is shown to have internal consistency reliability and satisfactory content validity. The result proposed the 27 items constructed scale. (Korean J Human Ecology 1(2):1~11. 1998)

  • PDF

The Influence of Shoppable Content Readability on Consumer Engagement in Brand Pages

  • Woo-Ryeong Yang;Minsoo Shin
    • Asia pacific journal of information systems
    • /
    • 제31권2호
    • /
    • pp.197-219
    • /
    • 2021
  • Social media platforms have become prominent channels for e-commerce, and the role of social network sites' (SNS) content marketing is expanding as a strategic marketing communication approach to attract and retain consumers and increase sales. In this study, we focused on South Korea market and explored the influence of linguistic complexity and informality on consumer engagement. In particular, we identified the importance of complexity, focusing on its negative effects, as well as the moderating effect of commerce features to minimize these effects. Specifically, content length, hashtags, long words, and average sentence length significantly and negatively impacted consumer engagement. The influence of emojis, an informality variable, was not statistically significant. Shoppable tags, a commerce feature that provides both advertising explicitness and shopping convenience, were a moderating factor in the influence of complexity. Our findings provide new insights for content marketing researchers, and have practical implications for social media managers and content developers.

코퍼스 분석방법을 이용한 『동의보감(東醫寶鑑)』 영역본의 어휘 분석 (An Analysis on the Vocabulary in the English-Translation Version of Donguibogam Using the Corpus-based Analysis)

  • 정지훈;김동율;김도훈
    • 한국의사학회지
    • /
    • 제28권2호
    • /
    • pp.37-45
    • /
    • 2015
  • Objectives : A quantitative analysis on the vocabulary in the English translation version of Donguibogam. Methods : This study quantitatively analyzed the English-translated texts of Donguibogam with the Corpus-based analysis, and compared the quantitative results analyzing the texts of original Donguibogam. Results : As the results from conducting the corpus analysis on the English-translation version of Donguibogam, it was found that the number of total words (Token) was about 1,207,376, and the all types of used words were about 20.495 and the TTR (Type/Token Rate) was 1.69. The accumulation rate reaching to the high-ranking 1000 words was 83.54%, and the accumulation rate reaching to the high-ranking 2000 words was 90.82%. As the words having the high-ranking frequency, the function words like 'the, and of, is' mainly appeared, and for the content words, the words like 'randix, qi, rhizoma and water' were appeared in multi frequencies. As the results from comparing them with the corpus analysis results of original version of Donguibogam, it was found that the TTR was higher in the English translation version than that of original version. The compositions of function words and contents words having high-ranking frequencies were similar between the English translation version and the original version of Donguibogam. The both versions were also similar in that their statements in the parts of 'Remedies' and 'Acupuncture' showed higher composition rate of contents words than the rate of function words. Conclusions : The vocabulary in the English translation version of Donguibogam showed that this book was a book keeping the complete form of sentence and an Korean medical book at the same time. Meanwhile, the English translation version of Donguibogam had some problems like the unification of vocabulary due to several translators, and the incomplete delivery of word's meanings from the Chinese character-culture area to the English-culture area, and these problems are considered as the matters to be considered in a work translating Korean old medical books in English.

웹 기반 수업을 위한 유해 단어 관리 게시판의 설계 및 구현 (Design and Implementation of Harmful Word Management Board for Web-based Instruction)

  • 박지현;곽미라;조동섭
    • 컴퓨터교육학회논문지
    • /
    • 제5권1호
    • /
    • pp.109-115
    • /
    • 2002
  • 인터넷이 교육에 사용됨으로써 학습자의 자기주도학습, 개별학습, 완전학습, 그리고 탐구형 학습 등이 효과적으로 이루어질 수 있다. 특히 이러한 장점을 취하기 위하여 게시판 시스템이 웹 기반 학습에 널리 사용되고 있다. 그러나, 게시판의 활용은 인터넷이 가지는 익명성으로 인해 자유로운 의견의 교환이라는 장점 외에, 부정적이거나 폭력적인 언어 사용이 쉽게 일어난다는 단점을 가진다. 본 연구는 인터넷을 활용한 학습에서 커뮤니케이션 도구로 널리 사용되고 있는 게시판이 유해단어 관리 기능을 가지도록 함으로써, 유해한 내용을 포함하는 내용의 게시를 제재하고 학생들의 언어 습관을 교정 할 수 있게 하였다.

  • PDF

Differentiation of Aphasic Patients from the Normal Control Via a Computational Analysis of Korean Utterances

  • Kim, HyangHee;Choi, Ji-Myoung;Kim, Hansaem;Baek, Ginju;Kim, Bo Seon;Seo, Sang Kyu
    • International Journal of Contents
    • /
    • 제15권1호
    • /
    • pp.39-51
    • /
    • 2019
  • Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

유아음악교육내용에 대한 교사의 개념도 분석 (Analysis of the Conceptual Map of Kindergarten Teachers Concerning the Content of Music Instruction)

  • 심성경;이효숙;임선옥;박순이;허은주;박지애
    • 아동학회지
    • /
    • 제24권4호
    • /
    • pp.71-88
    • /
    • 2003
  • Concept mapping was used to analyze the knowledge of kindergarten teachers about early childhood music instructional content. Data obtained from the 85 subjects was analyzed by Yun's method(1998) based on Novak & Gowin(1984), Morine-Dershimer(1993), and Markhan, Mintzes & Jones(1994). The majority of the teachers perceived the superordinate concepts of early childhood music instructional content to be listening to music, singing, movement, and playing musical instruments. They perceived early childhood music instructional content to be activity rather then knowledge. Listening to music was high in frequency among superordinate concepts and musical attitudes were high among subordinate concepts. Teachers used 285 words in expressing their cognitive maps. There was no effect on cognitive maps by teaching career or level of education.

  • PDF

보건소 이미지 척도 개발 (Development of Public Health Center Image Scale)

  • 이인영;김은미;배상수
    • 보건행정학회지
    • /
    • 제23권4호
    • /
    • pp.415-426
    • /
    • 2013
  • Background: This study was aim to identify the specific words and to develop the scale for the public health center (PHC) image. Methods: We collected 824 words from the previous studies and by open questions and reduced them by 77 words, then which were rated properly by 355 citizens of Seoul. We examined explanatory factor analysis for 69 words, and examined content validity test and confirmatory factor analysis (CFA) for the image structures (4 factors and 16 words). And then we developed the image questionnaire using them through council. We conducted a survey and retested the PHC image scales as the measuring tool targeting 2,000 persons, and compared the inexperience and experience persons for PHC usage. Results: The image structures were consisted of 4 factors and 16 words such as 'trustworthiness' (warm, exemplary, faithful, service-mindedness, beneficial to health), 'fairness' (honesty, clear, consistent, ruled), 'development possibility' (changing, goal-directed, developmental, propulsive), and 'flexibility' (not authoritative, not perfunctory, not rigid) in total. Cronbach's ${\alpha}$ values of all factors were above 0.7. As a result of CFA, model fit indexes yielded satisfactory results (root mean square error of approximation [RMSEA] 0.049, goodness of fit index [GFI] 0.937, and adjusted goodness of fit index [AGFI] 0.912). According to the result of retest for measuring tool by using other samples, Cronbach's ${\alpha}$ values were above 0.8, and model fit indexes yielded satisfactory results (RMSEA 0.059, GFI 0.952, AGFI 0.933). RMSEAs of the inexperiences and the experiences were each 0.59, 0.68. Conclusion: A reliable, valid, and generalizable scale was created for PHC image.

워드넷을 이용한 문서내에서 단어 사이의 의미적 유사도 측정 (Semantic Similarity Measures Between Words within a Document using WordNet)

  • 강석훈;박종민
    • 한국산학기술학회논문지
    • /
    • 제16권11호
    • /
    • pp.7718-7728
    • /
    • 2015
  • 단어 사이의 의미적 유사성은 많은 분야에 적용 될 수 있다. 예를 들면 컴퓨터 언어학, 인공지능, 정보처리 분야이다. 본 논문에서 우리는 단어 사이의 의미적 유사성을 측정하는 문서 내의 단어 가중치 적용 방법을 제시한다. 이 방법은 워드넷의 간선의 거리와 깊이를 고려한다. 그리고 문서 내의 정보를 기반으로 단어 사이의 의미적 유사성을 구한다. 문서 내의 정보는 단어의 빈도수와 단어의 의미 빈도수를 사용한다. 문서 내에서 단어 마다 단어 빈도수와 의미 빈도수를 통해 각 단어의 가중치를 구한다. 본 방법은 단어 사이의 거리, 깊이, 그리고 문서 내의 단어 가중치 3가지를 혼합한 유사도 측정 방법이다. 실험을 통하여 기존의 다른 방법과 성능을 비교하였다. 그 결과 기존 방법에 대비하여 성능의 향상을 가져왔다. 이를 통해 문서 내에서 단어의 가중치를 문서 마다 구할 수 있다. 단순한 최단거리 기반의 방법들과 깊이를 고려한 기존의 방법들은, 정보에 대한 특성을 제대로 표현하지 못했거나 다른 정보를 제대로 융합하지 못했다. 본 논문에서는 최단거리와 깊이 그리고 문서 내에서 단어의 정보량까지 고려하였고, 성능의 개선을 보였다.

유아문학교육내용에 대한 유아교사의 개념도 분석 (Analysis of the Conceptual Map of Kindergarten Teachers Concerning the Content of Literature Instruction)

  • 심성경;이효숙;변길희;김은아;박유미
    • 아동학회지
    • /
    • 제29권1호
    • /
    • pp.355-371
    • /
    • 2008
  • Concept mapping was used to investigate kindergarten teachers' knowledge about early childhood literature instructional content. Participants were 87 teachers recruited by the Provincial Authority for Supervision of Education in Jeonam Province. Data were analyzed by Yun's (1998) method based on Novack & Gowin (1984), Morine-Dershimer (1993), and Markham et al. (1994). Findings were that (1) the majority of the participants perceived superordinate concepts of early childhood instructional content in literature to be typesof literature, reading, writing, speaking, expression, and listening. Subordinate concepts were stated by 456 different words. (2) Types of literature and writing were highest in frequency of superordinate concepts and were also high among subordinate concepts and hierarchy. (3) Teachers' concepts varied by teaching careers in writing and reading.

  • PDF

소프트웨어 중심의 주문 형 의상제작 융합플랫폼 개발을 통한 OSMU콘텐츠 뉴비즈니스 시장 창출 제안 (Suggestion of OSMU Content New Business Market through Development of Integrated Platforms for Software-oriented Tailored Costume Production)

  • 정민수
    • 한국멀티미디어학회논문지
    • /
    • 제21권8호
    • /
    • pp.1021-1026
    • /
    • 2018
  • 3D SCAN enables easy human body measurement via a digital method in the process of film costume production which used to be done manually. Software-oriented computer graphic, which integrates 3D SCAN data in the process of manual film costume production, can induce quick and diverse design outcomes. While, 3D PRINT, which integrates computer graphic data in the process of manual film costume production, can automate the process of special costume production using a digital method. Integration of 3D Scan + Computer Graphic + 3D Print using integrated platforms for tailored costume production as developed in this study allows significant reduction of costume production period and costs. It also allows efficient integration of costume production outcomes in various industries related with OSMU contents in particular. In other words, using it, we can create a new business market that integrates multiple areas of film content, drama content and game content.