• 프린팅코리아
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• v.10 no.7
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• pp.108-111
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• 2011

한국후지제록스(대표 정광은)는 지난 6월 1일 서울 중구 정동에 위치한 한국후지제록스 본사 쇼룸에서 고객들을 대상으로 '소셜네트워크서비스(SNS)를 활용한 디지털 인쇄 사업'세미나를 개최했다. 이번 세미나는 소셜미디어 PR전문업체인 소셜링크 이중대 대표가 '소셜 미디어 커뮤니케이션에 대한 이해"라는 주제로 쇼셜 미디어의 의미, 출판업계 등 기업의 소셜 미디어 활용 현황, 쇼셜 미디어를 기반으로 개인 브랜딩을 구축하기 위한 방법을 발표했다. 이어 SNS를 사업에 활용하고 있는 인쇄 업체의 실제 사례로 박진만 마음커뮤니케이션 대표가 뉴미디어 환경에서 소비자들과 소통하는 방법, 마케팅 접근법 등을 소개했다.

• Journal of the Korea society of information convergence
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• v.7 no.2
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• pp.49-57
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• 2014

Recently, opinion mining is introduced to extract useful information from SNS data and to evaluate the true intention of users. Opinion mining are required several efficient techniques to collect and analyze a large amount of SNS data and extract meaningful data from them. Therefore in this paper, we propose a parallel HDFS(Hadoop Distributed File System) and emotion functions based on Mapreduce to extract some emotional information of users from various unstructured big data on social networks. The experiment results have verified that the proposed system and functions perform faster than O(n) for data gathering time and loading time, and maintain stable load balancing for memory and CPU resources.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.361-363
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• 2017

최근 소셜 미디어의 이용률이 폭발적으로 증가함에 따라, 방대한 데이터가 네트워크로 쏟아져 나오고 있다. 이들 데이터는 기존의 정형 데이터뿐만 아니라 이미지, 동영상 등의 비정형 데이터가 있으며, 이들을 포괄하여 빅데이터라고 불린다. 이러한 빅데이터는 오피니언 마이닝, 테스트 마이닝 등의 기술적인 분석 기법과 빅데이터 요약 및 효과적인 표현방법에 대한 시각화 기법에 대하여 활발한 연구가 이루어지고 있다. 이 논문은 인기 있는 사회연결망 서비스인 Twitter의 트윗을 수집하고, 빅데이터 분석 기법인 텍스트 마이닝을 활용하여 2017년 대선에 대하여 분석하였다. 또한 분석된 자료의 효과적인 전달을 위해 워드 클라우드 진행하였다. 이 논문을 위하여 인기 있는 SNS인 Twitter의 최근 7일간 트윗(tweet)을 수집하고 분석하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.7-8
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• 2022

본 연구에서는 한국어 SNS 대화에서 나타나는 문장들의 감성을 분석하고자 신경망 모델을 활용하여 시스템을 구축하였다. 현재 해외 SNS 감성분석에 대한 연구는 많이 진행된 상황이지만, 한국어 범용 대화에 대해 적절한 모델이 무엇인지는 연구가 부족한 실정이었다. 따라서 한국어 대화에 적합한 모델을 채택해 보다 정확한 감성분석을 수행하였다. 이를 위해 한국어 SNS 대화 데이터에 대해 신경망 모델을 적용하여, 82% 성공률로 기존 모델 72% 성공률보다 훨씬 더 우수한 성능을 보였다. 또한 본 연구의 결과는 악플 추적 등 실용적인 분야에도 기여할 수 있다고 사료된다.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.177-186
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• 2012

Social Network Service is a web-based service that allows the people to construct relationship among users with same interest and supports various activities such as managing personal relations and sharing information or contents. The objective of this study is analysing the influence of the innovativeness on the use intention in SNS based on the UTAUT model. This study establishes a theoretical model that includes four independent variables(performance expectancy, effort expendancy, social influence, innovativeness) and two moderating variables(gender and innovativeness). The empirical results obtained in a sample of 403 university students are followings; 1) The use intention is positively influenced by the performance expectancy, effort expendancy, social influence and innovativeness. The effort expectancy is the strongest predictor of the use intention 2) The gender has a moderating effect whileas the innovativeness has no moderating effect. For men, the stronger the effect of performance expectancy on the use intention and for women, the stronger the effect of social influence on the use intention.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.7-12
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• 2014

It has good features for social networking with friends SNS is maintained. However, various enterprises, individuals invading the inconvenience spammers have exposure to a number of users to tweet spam. The study was conducted in the existing research on these spam tweets. However, the results showed a more accurate classification and detection is difficult because of the lack of precision and different causes. In this paper, we describe how to classify the characteristics of spammers, classification criteria. Also has a link rate and difference between followers and following, these features were present classification criteria for spammers account. This experiment was performed according to the criteria. Randomized trial of spam and non-spam accounts were selected and account type was conducted according to the criteria 68% of the link ratio of spam accounts. Followers / Following ratio was 27581.5. Non-spam accounts was 6.12%. Followers / Following ratio was 1.26.

• Journal of Korea Multimedia Society
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• v.15 no.7
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• pp.931-940
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• 2012

Social networking services which spreading rapidly is a system using interrelationship of people by internet or mobile. SNS is a network system of the human-centered. In this paper, in order to make robot become a member of social networks we studied the necessary elements and formation. For robot with communication function and sensing, autonomous, collision avoidance method and communication protocol is needed to let Robot share the present conditions dangerous or special situation. We realized this after investigating necessary sensor for SNS, studying robot's collision-avoidance method, and defining protocol of robot for SNS. Also, we suggested and implemented the wired and wireless integrated communications method.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.149-156
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• 2020

This study investigated the key factors affecting online relational intimacy in the context of SNS. Based on the use and gratification theory, self-presentation, relationship formation and information searching were identified as the main needs of SNS usage. These needs were expected to influence online relational intimacy through user satisfaction, subjective well-being, and disclosing information behaviors. The theoretical framework was validated by a longitudinal method. Hypotheses were tested by using the partial least squares to data from 199 Facebook users. Self-presentation and information searching had a significant impact on both user satisfaction and subjective well-being. However, relationship formation did not significantly affect both user satisfaction and subjective well-being. User satisfaction had a significant direct effect only on online relational intimacy. Subjective well-beings played a significant role in enhancing both disclosing information behaviors and online relational intimacy. Finally, it has been found that disclosing information behaviors are a key factor in enhancing online relational intimacy. The results of this study are expected to provide academic and practical implications for the key antecedents of online relational intimacy.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.39-60
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• 2019

The purpose of this study is to examine new types of political participation using the new media of digital convergence generation. For this purpose, groups were classified according to age and characteristics of media usage to investigate whether there are differences in media-related tendencies, SNS and characteristics of Smartphone usage political-related characteristics, and political participation by types. The results of the study is that the media usage characteristics by generation showed a difference between groups according to the high and low motivation for using media, and there was a generation differences in politics-related characteristics and types of political participation. Digital generation showed lower political involvement, political efficiency and offline political participation than Web 1.0 generation. In addition, political efficacy showed the moderating effect that had the greatest effect on political participation by types.