• Title/Summary/Keyword: social network service (SNS)

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Adaptive Context-Sensitive Spelling Error Correction System Based on Self-Attention for Social Network Service Chatting Data (SNS 채팅 데이터에 적응적인 Self-Attention 기반 문맥의존 철자오류 교정 시스템)

  • Choi, Hyewon;Jang, Daesik;Son, Dongcheol;Lee, Seungwook;Ko, Youngjoong
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.362-367
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    • 2019
  • 본 논문에서는 Self-Attention을 활용한 딥러닝 기반 문맥의존 철자오류 교정 모델을 제안한다. 문맥의존 철자오류 교정은 최근 철자오류 교정 분야에서 활발히 연구되고 있는 문제 중 하나이다. 기존에는 규칙 기반, 확률 기반, 임베딩을 활용한 철자오류 교정이 연구되었으나, 아직 양질의 교정을 수행해내기에는 많은 문제점이 있다. 따라서 본 논문에서는 기존 교정 모델들의 단점을 보완하기 위해 Self-Attention을 활용한 문맥의존 철자오류 교정 모델을 제안한다. 제안 모델은 Self-Attention을 활용하여 기존의 임베딩 정보에 문맥 의존적 정보가 반영된 더 나은 임베딩을 생성하는 역할을 한다. 전체 문장의 정보가 반영된 새로운 임베딩을 활용하여 동적으로 타겟 단어와의 관련 단어들을 찾아 문맥의존 철자 오류교정을 시행한다. 본 논문에서는 성능평가를 위해 세종 말뭉치를 평가 데이터로 이용하여 제안 모델을 실험하였고, 비정형화된 구어체(Kakao Talk) 말뭉치로도 평가 데이터를 구축해 실험한 결과 비교 모델보다 높은 정확율과 재현율의 성능향상을 보였다.

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Context Sharing Framework Based on Time Dependent Metadata for Social News Service (소셜 뉴스를 위한 시간 종속적인 메타데이터 기반의 컨텍스트 공유 프레임워크)

  • Ga, Myung-Hyun;Oh, Kyeong-Jin;Hong, Myung-Duk;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.39-53
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    • 2013
  • The emergence of the internet technology and SNS has increased the information flow and has changed the way people to communicate from one-way to two-way communication. Users not only consume and share the information, they also can create and share it among their friends across the social network service. It also changes the Social Media behavior to become one of the most important communication tools which also includes Social TV. Social TV is a form which people can watch a TV program and at the same share any information or its content with friends through Social media. Social News is getting popular and also known as a Participatory Social Media. It creates influences on user interest through Internet to represent society issues and creates news credibility based on user's reputation. However, the conventional platforms in news services only focus on the news recommendation domain. Recent development in SNS has changed this landscape to allow user to share and disseminate the news. Conventional platform does not provide any special way for news to be share. Currently, Social News Service only allows user to access the entire news. Nonetheless, they cannot access partial of the contents which related to users interest. For example user only have interested to a partial of the news and share the content, it is still hard for them to do so. In worst cases users might understand the news in different context. To solve this, Social News Service must provide a method to provide additional information. For example, Yovisto known as an academic video searching service provided time dependent metadata from the video. User can search and watch partial of video content according to time dependent metadata. They also can share content with a friend in social media. Yovisto applies a method to divide or synchronize a video based whenever the slides presentation is changed to another page. However, we are not able to employs this method on news video since the news video is not incorporating with any power point slides presentation. Segmentation method is required to separate the news video and to creating time dependent metadata. In this work, In this paper, a time dependent metadata-based framework is proposed to segment news contents and to provide time dependent metadata so that user can use context information to communicate with their friends. The transcript of the news is divided by using the proposed story segmentation method. We provide a tag to represent the entire content of the news. And provide the sub tag to indicate the segmented news which includes the starting time of the news. The time dependent metadata helps user to track the news information. It also allows them to leave a comment on each segment of the news. User also may share the news based on time metadata as segmented news or as a whole. Therefore, it helps the user to understand the shared news. To demonstrate the performance, we evaluate the story segmentation accuracy and also the tag generation. For this purpose, we measured accuracy of the story segmentation through semantic similarity and compared to the benchmark algorithm. Experimental results show that the proposed method outperforms benchmark algorithms in terms of the accuracy of story segmentation. It is important to note that sub tag accuracy is the most important as a part of the proposed framework to share the specific news context with others. To extract a more accurate sub tags, we have created stop word list that is not related to the content of the news such as name of the anchor or reporter. And we applied to framework. We have analyzed the accuracy of tags and sub tags which represent the context of news. From the analysis, it seems that proposed framework is helpful to users for sharing their opinions with context information in Social media and Social news.

Crowd-funding between the Movie Content Prodution through the Analysis of the Relationship or the Successful Funding Case Research (크라우드 펀딩과 영화영상미디어 콘텐츠 제작과의 관계분석을 통한 성공적인 펀딩 연구)

  • Jin, Seung-Hyun
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.81-91
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    • 2013
  • Social Media has been vitalized according to development of technology, it make the crowd-funding which have a form of new donation culture. The crowd-funding has been known as form that is supported for getting investments of ongoing or new project by much public in area of cultural art. Nowadays it receive attention from the movie content production. There are so many successful case such as , in abroad while it is hard to find distinct case in Korea' the movie content production market. Since the movie <26 years> informed public of 'the crowd-funding', recently was successfully complete first and second fund-raising and third fund-raising is in progress. It is upraised as a representative successful case.

Study on internet social commerce business loyalty -Focusing on Chinese consumers- (인터넷 비즈니스 소셜커머스 충성도에 관한 연구 -중국소비자들을 중심으로-)

  • Jung, In Suk
    • Journal of Digital Contents Society
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    • v.16 no.3
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    • pp.471-482
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    • 2015
  • Recently commercialized network are getting more and more popular, bringing dramatic change to the market. We can predict the future of the E-commerce. The ongoing E-commerce and SNS (Social Networking Services)related E-commerce are increasing greatly both in Korea and China. This research tries to focus on Chinese consumers using E-commerce. The study has four findings. Firstly, the E-commerce consumers consider four factors including price, convenience, products and website, which affect the sellers' integrity. Secondly, E-commerce will affect sellers' integrity. Third, there are 4 factors which affect the sellers' integrity: service, price, products and the information. Fourth, the factors which affect the integrity of sellers are the value, happiness and practical. This study want to give some hints to the E-commerce in the overseas market in China.

Factors Affecting the Intention to Invade Privacy on Social Network Service (SNS에서 프라이버시 침해의도에 영향을 미치는 요인)

  • Ahn, Soomi;Jang, Jaeyoung;Kim, Jidong;Kim, Beomsoo
    • Information Systems Review
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    • v.16 no.2
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    • pp.1-23
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    • 2014
  • With side effects such as Phishing and Spam using personal information in Social Network Service, there is a growing need for studies related to harmful behaviors such as the reason for privacy violation. As such, this study assumed privacy violation to be ethical decision, making behavior and used the Theory of Planned Behavior and Motivation Theory, which are mostly used in social science to identify the factors affecting privacy violation. The results suggested that the Perceived Enjoyment and Punishment used in motivation studies affected privacy violation behaviors, and that the factors of the Theory of Planned Behavior such as Attitude toward Privacy Violation, Subjective Norms of Privacy Violation, and Perceived Behavioral Control with regard to Privacy Violation significantly influenced the Intention to Privacy Violation. On the other hand, Perceived Curiosity and Subjective Norms of Privacy Violation did not affect the Intention to Privacy Violation. Therefore, this study confirmed that the Theory of Planned Behavior was appropriate to explain the Intention to Privacy Violation, and that the variables of the Motivation Theory generally influenced the Attitude toward Privacy Violation. This study was significant since it extended the scope of theoretical privacy study from users and victims centered to inflictor and applied the Extended Theory of Planned Behavior using the variables of the Motivation Theory in the study of Intention to Privacy Violation. From the practical aspect, it provided the ground for privacy education based on the fact that the Attitude toward Privacy Violation can be curbed when education on the Privacy Concerns, Perceived Enjoyment, and Punishment with regard to privacy is strengthened. It also cited the need for the punishment of privacy violation and the practical ground to amend the terms and conditions of user license and Personal Information Protection Act to provide policy support.

Android Malware Detection Using Auto-Regressive Moving-Average Model (자기회귀 이동평균 모델을 이용한 안드로이드 악성코드 탐지 기법)

  • Kim, Hwan-Hee;Choi, Mi-Jung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.8
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    • pp.1551-1559
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    • 2015
  • Recently, the performance of smart devices is almost similar to that of the existing PCs, thus the users of smart devices can perform similar works such as messengers, SNSs(Social Network Services), smart banking, etc. originally performed in PC environment using smart devices. Although the development of smart devices has led to positive impacts, it has caused negative changes such as an increase in security threat aimed at mobile environment. Specifically, the threats of mobile devices, such as leaking private information, generating unfair billing and performing DDoS(Distributed Denial of Service) attacks has continuously increased. Over 80% of the mobile devices use android platform, thus, the number of damage caused by mobile malware in android platform is also increasing. In this paper, we propose android based malware detection mechanism using time-series analysis, which is one of statistical-based detection methods.We use auto-regressive moving-average model which is extracting accurate predictive values based on existing data among time-series model. We also use fast and exact malware detection method by extracting possible malware data through Z-Score. We validate the proposed methods through the experiment results.

Maintaining Professional Dignity in the Age of Social Media (소셜미디어 시대에서 의료전문직으로서의 품위 유지)

  • KIM, Claire Junga;BHAN, Yoo Wha
    • Korean Journal of Medical Ethics
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    • v.21 no.4
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    • pp.316-329
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    • 2018
  • Although the use of social media by doctors raises important issues concerning medical professionalism, the relevant professional bodies in South Korea have failed to issue clear guidelines on social media usage. The Korean Medical Association's newly revised ethics guidelines do require members to maintain dignity while using social media, but the idea of "maintaining dignity" is far from clear, and its premodern connotation prevents it from being reliably used in professional codes of conduct. The authors of this article examine the concept of maintaining dignity and conclude that once it is clarified and redefined it can and should be used as a viable ethical standard in a variety of contexts, including the use of social media. Social media's unpredictability and uncontrollability, and the blurred distinction between professional/public and personal/private can be a threat to medical professionalism. In order to deal with this threat, the concept of dignity is important. We present three examples in which the dignity of medical professionals is undermined and explain why these jeopardize public trust. We conclude that in order to maintain public trust the Korean Medical Association should provide more detailed guidelines on the use of social media by its members.

The Influence of Enneagram Personality Styles on Information Seeking Behaviors of Undergraduate Students of Humanities and Social Sciences Studies (에니어그램 성격 유형이 인문사회과학 대학생들의 정보추구행태에 미치는 영향 연구)

  • Kim, Hyun-Hee;Jang, Yoo-Ri
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.3
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    • pp.237-264
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    • 2014
  • This study aims to investigate the influence of personality styles on information seeking behaviors of undergraduate students. To this end, first, Korean Enneagram Personality Training Indicator (KEPTI) tool was used to measure Enneagram personality styles. Next, to measure information seeking activities, 200 of undergraduate students were recruited, and a questionnaire with 13 questions was designed. The questions included information usage motivation, how to collect and search scholarly information, challenges faced in the search process, level of satisfaction, and the use of SNS (Social Network Service). This research concluded that personality traits affected information seeking behavior and Enneagram types of each center of energy consistently did not show similar information seeking behavior.

The effects of the Partnership in Supply Chain Management with Appling Social Business on the outcome of the SCM (소셜 비즈니스를 활용한 공급 사슬에서의 파트너십이 SCM 성과에 미치는 영향)

  • Kim, So-Chun;Lim, Wang-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.95-110
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    • 2014
  • The purpose of this research is to further investigate the influence of partnership between with the mediator effect of the social business on the outcome of SCM. IT technology fusion electronic tags, mobile phone, such as cloud computing is also activated in supply chain management of recently, business is faster, if social business is applied here that are smarter, customers or suppliers, there may be communication directly and to further improve the relationship partnership. 150 questionnaires were sent to companies that have introduced SCM to their systems and are operating it. Among 150 questionnaires, 127 collected data were analyzed excluding incomplete 23 data. Statistical methods used in this study were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, path analysis, Scheffe test and Sobel test with Amos 18.0. and SPSS 21.0. The analytical results are as follows. First, the more the reliability, information share, continuous transaction, effects on the social business are getting higher, the interdependence has little impact on it. Second, the impact on the outcome of SCM, partnerships between companies, showed a significant influence the reliability, the share of information, the continuous transaction, but the interdependence was analysed as an uninfluential factor. Third, the social business is analyses to have a mediator effect in relationship between the partnership and the outcome of SCM.

An Exploratory Study on Makeup Rituals of Generation Z Consumers (Z세대 소비자의 화장 의례에 대한 탐색적 연구)

  • Lee, Jaekyong;Choo, Ho Jung;Yoon, Namhee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.2
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    • pp.356-375
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    • 2021
  • The Generation Z (Gen-Z) consumer has a unique beauty-consuming behavior that is distinct from the previous generations. This study aims to identify the meaning of makeup rituals based on the theoretical framework of the ritual concept. In-depth interviews were conducted with fifteen females in their mid-teens to early 20s. The results showed that Gen-Z has different types of makeup ritual scripts for both ordinary days and special days, which are constantly being re-written and revised based on the experience accumulated. In addition, there are various types of ritual artifacts that play an important role in Gen-Z's makeup ritual, and that they provide psychological comfort and satisfaction. The importance of DIY (Do It Yourself), collecting, and independent brands is emphasized. The role of Gen-Z in the makeup ritual was expanding from a creator for her own ritual to a collaborator for peers' rituals, and sometimes the expansion goes beyond the direct relationships to virtual ones through SNS (Social Network Service). The Gen-Z cohort is found to be a member of beauty knowledge network through which they learn, share, and create the know-how and shopping skills.