• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2015년도 춘계 종합학술대회 논문집
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• pp.53-54
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• 2015

Optical music recognition (OMR) systems have been developed in recent years. However, chord symbols that play a role in a music sheet have been still disregarded. Therefore, we aimed to develop a proper approach to recognize these chord symbols. First, we divide the image of chord symbol into small segments in horizontal by a method based on vertical projection. Then, the optimal combination of these segments is found by using a lexicon-driven word scoring technique and a nearest neighbor classifier. The word that corresponds to the optimal combination is the result of recognition. The experiment gives an impressive result with accuracy 97.32%.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.547-550
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• 2006

사용자가 원하는 정보를 얼마나 정확하게 제시하느냐가 정보검색시스템 성능을 판단하는 기준이 된다. 그러나 동형이의어만을 질의어로 이용한 검색 결과는 동형이의어 각 의미에 관련된 문서가 혼재되어 있거나, 특정 의미에 관련된 문서만 집중적으로 나타나는 현상을 볼 수 있다. 그래서 본 논문에서는 한국어 사용자 어휘지능망(U-WIN)의 관계정보를 이용하여, 질의어의 모호성을 해결하는 의미적 정보검색의 기반이 되는 기술을 제안한다. 실험에서 질의어는 전문분야에 주로 사용되는 동형이의어와 보편적으로 사용하는 동형이의로 구분하고, '질의어+상위어' 형태의 확장 질의어를 설정한다 그래서 포탈사이트의 웹 문서만을 대상으로 한 정확률은 73.5%, 통합검색의 정확률은 68.7%로 나타났다. 이것은 U-WIN 기반의 의미적 정보검색 기술이 정보검색 시스템에서 효율적임을 알 수 있다.

• 유통과학연구
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• 제21권1호
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• pp.85-93
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• 2023

Purpose: This research is intended to analyze how distribution of brand communication of a Soft Drink brand on brand image mediated through electronic word of mouth on packaged carbonated drink in Indonesian Gen-Z. This research also aims to find out how electronic word of mouth can have a role in creating a brand image for Indonesia Gen-Z. Research design, data and methodology: This research is using a quantitative approach with purposive sampling technique, a survey was conduct online and the number of samples being 384 responders who are spread all over Indonesia. The questionnaire construct was designed based on several variables, such as brand communication, brand image, and e-WOM. E-WOM was positioned as a mediating variable in this research. Brand Communication indicators consist of event and experience, public relation and publicity, direct marketing and personal selling. Meanwhile brand image consists of Attributes, Benefits, and Attitudes. E-WOM indicators consist of intensity, balance of opinion, and content. Results: The result of this research being (1) There is a significant influence between brand communication and brand image. (2) There is a significant influence between brand communication and electronic word-of-mouth. And (3) There is a significant influence between brand communication and brand image mediated through electronic word-of-mouth. Conclusion: The findings of this research prove that there is significant influence between brand communication, brand image and electronic word-of-mouth, this study also provide several information about how other factor affect the distribution of brand communication.

• 영어어문교육
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• 제10권2호
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• pp.43-65
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• 2004

In the comprehension of English texts, Korean students generally try to translate English into Korean in accordance with the word order of Korean language. As a result, the comprehension of English texts is made in a regressive way, which results in slower reading. In order to enhance the reading speed, it is necessary for students to practice progressive reading. Also, while reading English texts, most readers' eyes tend to look at one word at a time, which actually cuts down on the reading speed. Reading by the sense group of as many words as possible at a glance, however, can help a reader more efficiently in less time. This research aims at developing the Powerpoint program for progressive reading by the sense group according to the student's level. In this program, as for methodology, the technique of rooking it fade-away is introduced to force a reader's eyes to move fast. Through this technique, it is possible to make a line of the texts disappear on the screen and make another line appear, which enables a reader to sweep the words across each and every line of the reading material smoothly without regression.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.475-483
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• 2021

COVID-19 pandemic has affected the lives of people and has forced businesses to develop different ways of doing businesses. Several businesses have implemented social responsibility activities. With social distancing keeping many people at home, online and digital platforms have become one of the most important mechanisms for businesses undertakings and implementing those social responsibility initiatives and activities - digital social responsibility (DSR). The purpose of this study is to examine the relationships of electronic word-of-mouth (eWOM) intentions and customer engagement with DSR in social media with attitude toward DSR as the antecedent during COVID-19 social distancing situation in Thailand. The study employs a quantitative research method where sampling method is followed by convenience sampling technique, and study data is collected through survey questionnaire with social media users who have experiences with firms' online social responsibility initiatives. Based the samples of 123 respondents, Structural Equation Modelling (SEM) has been used for analysis. The results show that attitudes toward DSR in social media significantly influence electronic word-of-mouth (eWOM) intentions and have a significant effect on customer engagement with DSR in social media. The mediation analysis also revealed that eWOM intention partially mediated the relation between attitudes toward DSR in social media and customer engagement.

• 한국콘텐츠학회논문지
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• 제20권10호
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• pp.119-133
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• 2020

최근 유명 유튜버들이 간접광고(PPL)등 협찬, 광고를 받은 영상을 제작, 방영하면서 유료광고라고 밝히지 않은 일명 '뒷광고' 논란이 이어지며 유명 유튜버뿐만 아니라 연예인들까지 논란 속에 속해 있어 진실성에 대한 대중들의 혼란을 야기시키고 있다. 본 연구는 유튜버들의 '뒷광고' 논란의 전과 후의 대중들의 반응을 댓글분석을 통해 알아보고자 한다. 구체적으로 R 프로그램을 활용한 텍스트 분석 중 워드 클라우드, LDA, 딥러닝 기법 word2vec 분석과 같은 다양한 방식으로 분석하고자 한다. 분석 대상은 '뒷광고' 유튜버 논란에 속해 있고 '사과 영상'을 업로드한 3명의 유튜버 채널을 분석해 보기로 했다. 가장 먼저 논란되었던 슈스스 TV의 한혜연 스타일리스트와 콘텐츠 성향이 비슷하면서 100만 명이 넘는 구독자 수를 보유한 먹방 유튜버 문복희와 다양한 콘텐츠를 선보인 유튜버 양팡의 가장 최신 영상 5개(2020년 08월 09일 기준)와 처음에 올린 영상 5개를 기준으로 댓글을 분석하였다. 연구결과 논란 전에는 대부분 긍정적인 반응을 보인 댓글들이 대부분이었으나, 논란 후에는 부정적인 반응이 대부분을 차지하였고, 예전의 논란까지 같이 나타나고 있음을 볼 수 있었다. 따라서 본 연구는 R프로그램을 이용한 다양한 분석을 통해 '뒷광고' 논란 이후에 인플루언서에 대한 대중들의 변화 정도를 댓글을 통해 알아봄과 동시에 앞으로는 인플루언서들의 뒷광고가 발생하지 않도록 다양한 방안을 제시하는데 그 의의가 있다.

• 한국의류학회지
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• 제44권3호
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• pp.413-426
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• 2020

This study researches the association between associative vocabulary and fashion image language in order to extract ideas that can be used as basic data for design ideas. Classic - avant-garde imaged language were chosen as theme words and each 70 questionnaires per a final image word were used for analysis. We obtained the following results by researching keywords that explained classic image words through a word cloud technique. It was found to have high central representation in the order of suit, classical, basic, music, Chanel, black and traditional. The core key words explaining avant-garde image language were found to have a central representation in the order of : peculiar, huge, Comme des Garçons, artistic, creative, deconstruction and individuality. We extracted the necessary idea dimensions needed for design ideas through associative network graph analysis. In the case of classical image language, it was named as the Mannish Item, Music, Modern Color, and the Traditional Classicality dimensions. In the case of avant-garde image language, it was named as the Key Image, Artistic Aura, Key Design and Designers dimensions.

• 한국콘텐츠학회논문지
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• 제6권12호
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• pp.12-20
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• 2006

본 논문에서는 유/무선 통합 환경에서 전자상거래를 활성화시키기 위한 지불 수단으로 GDHP 은닉서명 기법을 이용한 전자지불 프로토콜을 제안한다. GDHP 기반의 타원곡선 알고리즘을 적용하여 통신횟수, 계산량 측면에서 기존의 은닉서명 방식의 효율성을 개선하였다. 또한, 기존의 PayWord 프로토콜에서 사용한 인증서 대신 유한체 $F_q$ 에서 타원곡선(Elliptic Curve Cryptosystem) 을 이용한 Weil pairing에 의해 생성된 세션키를 사용하여 개체간의 인증이 이루어지기 때문에 속도의 향상 및 위장공격(Man-in-the-middle attacks)과 Forward secrecy 에 대한 안전성을 제공한다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.237-251
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• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• 한국콘텐츠학회논문지
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• 제16권11호
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• pp.72-82
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• 2016

지금까지 의료서비스에 대한 다양한 연구가 진행되었지만 기존 연구들은 원인변수와 결과변수와의 관계를 규명하는 데만 초점을 두고 있다. 하지만 의료서비스 문제는 다른 서비스 산업과 상대적으로 비교해볼 때 문제 발생 시 고객이 느끼는 감정은 다를 것이라 예측되며, 최근 의료관광과 더불어 의료서비스의 중요성이 부각되는 시점이다. 이에 본 연구는 의료서비스 문제에 관한 정성적 자료를 실증 분석하였으며, 단어구름기법도 이용하였다. 연구의 주요결과를 살펴보면, 의료서비스 문제는 항목별로 의료과실, 간호사 업무미숙, 무심한 진료, 과잉검사 및 진료, 치료강요 및 거부, 응급대기, 불친절, 예약문제, 프로세스문제, 불편함 등 총 10개의 요인으로 나타났다. 그 중 복구 불가능한 서비스 실패에서 가장 많이 산출된 주요 단어는 의료과실, 무심한 진료, 간호사의 업무미숙 순이며, 복구 가능한 서비스 실패에서는 불친절한 태도와 예약시스템에 관한 부정적 경험의 주요 단어가 가장 많이 도출되었다. 의료서비스 문제 후 고객행동은 대부분 강력한 항의를 하며, 아주 심각한 문제에 대해서는 공개적 항의를 하거나 법적대응을 하는 것으로 나타났다. 본 연구의 결론에서는 연구결과 요약과 시사점, 그리고 향후 연구에 대한 제언을 하였다.