• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.19-27
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• 2014

The amount of personal information has increased dramatically due to the prevalent use of smartphones and the rapid growth of social networking services. Under these circumstances, there has been a lot of efforts to obtain new information based on the overflowing personal data. The conventional character analysis method, which heavily relies on personal surveys, had some limitations in that it was difficult for psychologist to have a complete access to the surveyed results. When it comes to celebrities, however, it is relatively easy to access to their information through various media. Therefore there has been various researches that examined celebrities' personalities. On the contrary, not many studies have focused on analyzing the characteristics of the general public whose information is not so accessible. In this research, we suggest a method to analyze ordinary people's characteristics based on information available via their social networking services. This research focuses on developing a Facebook-native application, which examines the user's character type based on the posts shared in the user's Facebook page.

• Management & Information Systems Review
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• v.35 no.3
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• pp.273-287
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• 2016

This study aimed to clarify the effect of information technology (IT) education on the efficiency and effectiveness of working processes among agriculture corporations. Survey data on information levels from 222 agriculture corporations were collected from the Korean Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS) for a governmental white paper. Structural equation modeling was used for analysis. This study found that IT education increases the ratio of the use of information systems in working processes, especially given the use of data accumulated through information and communications technologies (ICT). The findings of this study suggest that the use of ICT data as an aspect of IT education is beneficial for the agricultural sector.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.252-255
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• 2011

Growing demand for smart phones and data communication diminishes the constraints of Twitter and Facebook than a smartphone has become a subject of interest. On the other hand facebook users in their relationships to obtain the consent of the other, twitter is a relatively simple procedure for the information ripple effect is excellent. Twitter is beyond a simple social networking services(SNS) located in one of the popular media and powerful have the upper retweet. Retweet to the top of his sympathy with the ability th send tweets to their subscriber information can spread quickly. In this paper, we propose the smart retweet that system actively extend the existing retweet. In order to realize the smart retweet and additional criteria for determining the destination of the information is required. Based on tweet generated regional or an local information mentioned to tweet, to determine the destination. Smart retweet of the speed and scope of information transmission through the scale is expected.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.90-98
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• 2017

Since 2010, SNS was holding the explosive spread of smartphones has created a place of public advertising platform, and it entered the Internet of Things (IoT) is born gradually countdown of the era came to us already. In utilizing a variety of location-based services IoT services (beacon, O2O) The focus of this paper to analyze the differences in satisfaction with the oil layer by experienced users of what is being used. We consider the type and overall utilization of the concepts typical IoT service in the current service is made to expand the contents of the paper. Hypothesis was reconstructed ease, attractiveness, a survey reliability, value four kinds of models, called Honeycomb UX, User Experience Honeycomp Peter Mobil. Company that provides the service IoT in this study are expected to be used as basic data to help provide a more accurate personalized service according to the user's satisfaction difference.

• The Korean Journal of Community Living Science
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• v.27 no.spc
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• pp.665-679
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• 2016

This study examined the main factors for activating rural tourism of Jeollabuk-do using big data analysis. The tourism big data was gathered from public open data sources and social network services (SNS), and the analysis tools, 'Opinion Mining', 'Text Mining', and 'Social Network Analysis(SNA)' were used. The opinion mining and text mining analysis identified the key local contents of the 14 areas of Jeollabuk-do and the evaluations of customers on rural tourism. Social network analysis detected the relationships between their contents and determined the importance of the contents. The results of this research showed that each location in Jeollabuk-do had their specific contents attracting visitors and the number of contents affected the scale of tourists. In addition, the number of visitors might be large when their tourism contents were strongly correlated with the other contents. Hence, strong connections among their contents are a point to activate rural tourism. Social network analysis divided the contents into several clusters and derived the eigenvector centralities of the content nodes implying the importance of them in the network. Tourism was active when the nodes at high value of the eigenvector centrality were distributed evenly in every cluster; however the results were contrary when the nodes were located in a few clusters. This study suggests an action plan to extend rural tourism that develop valuable contents and connect the content clusters properly.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.292-297
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• 2014

As a Social Network Service (SNS) has become an integral part of our everyday lives, millions of users can express their opinion and share information regardless of time and place. Hence sentiment analysis using micro-blogs has been studied in various field to know people's opinion on particular topics. Most of previous researches on movie reviews consider only positive and negative sentiment and use it to predict movie rating. As people feel not only positive and negative but also various emotion, the sentiment that people feel while watching a movie need to be classified in more detail to extract more information than personal preference. We measure sentiment distributions of each movie from tweets according to the Thayer's model. Then, we find similar movies by calculating similarity between each sentiment distributions. Through the experiments, we verify that our method using micro-blogs performs better than using only genre information of movies.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.263-270
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• 2014

This paper suggests a method for predicting a box-office success of the film. Lately, as the growth of the film industry, a variety of studies for the prediction of market demand is being performed. The product life cycle of film is relatively short cultural goods. Therefore, in order to produce stable profits, marketing costs before opening as well as the number of screen after opening need a plan. To fulfill this plan, the demand for the product and the calculation of economic profit scale should be preceded. The cases of existing researches, as a variable for predicting, primarily use the factors of competition of the market or the properties of the film. However, the proportion of the potential audiences who purchase the goods is relatively insufficient. Therefore, in this paper, in order to consider people's perception of a movie, Twitter was utilized as one of the survey samples. The existing variables and the information extracted from Twitter are defined as off-line and on-line element, and applied those two elements in machine learning by combining. Through the experiment, the proposed predictive techniques are validated, and the results of the experiment predicted the chance of successful film with about 95% of accuracy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.5
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• pp.602-609
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• 2016

In a smart society, politicians analyze the big data of voters to build a favorable political positions. In other words, a variety of digital footprints uploaded in SNS or Internet are used to set the election strategies and political directions. In comparison, it is difficult for voters to extract intention information about how politicians are performing a political acts. Therefore, it is important that voters need to analyze what intention of politicians are like for two way interaction between voters and politicians. For this, in this paper, we want to do the identification by analyzing IT technologies to narrative styles of politicians who pursue relative advantages or gains compared to other competitors. The experiments will be carried out to identify about what relative advantages compared to other competitors by narrative styles of next presidential candidates who are expected to run into the next presidential election by analyzing the usual audio interviews.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.218-234
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• 2008

중국은 2008년 현재 메신저 이용자 수와 블로그 등의 웹 2.0 이용자 수에 있어서 세계 1위이다. 그리고 중국의 2007년 850억 달러의 인터넷 디지털 시장은 2015년에 2640억 달러로 성장할 전망이다. 이와 같이 인터넷 시장의 규모와 성장 가능성으로 인해 중국 인터넷 비즈니스의 중요성이 높아지고 있다. 이러한 필요성에 따라서 본 연구에서는 중국의 인터넷 동향 중에서 가장 큰 주목을 끌고 있는 웹 2.0 기반의 사회 연결망 서비스 분야에서 다음 세 가지의 연구 질문을 설정하고 그 답을 찾아보았다. 첫째, 중국 사회 연결망 서비스의 주요 특징은 무엇인가? 이러한 질문에 답하기 위해 본 연구에서는 문헌연구를 바탕으로 중국의 대표적인 사회 연결망 서비스 업체로 Tencent QQ와 Sina Poco를 살펴보았고, 중국 사회 연결망 서비스 이용자의 가입 이유, 갱신 이유, 주요 내용, 유상 서비스에 대한 태도 등을 살펴보았으며, 중국 인터넷 사용자의 집단별 특징에 대해 살펴보았다. 둘째, 중국 사회 연결망 서비스의 이용에 영향을 미치는 주요 요인들은 무엇인가? 이러한 질문에 답하기 위해 동기부여이론, TAM 이론. 관련 선행연구 등을 검토하여 중국 사회 연결망 서비스의 이용에 영향을 미치는 요인들로서 사용자 참여, 사회적 영향, 네트워크 효과, 유용성, 시스템 품질 등을 도출하였고 PLS를 이용한 데이터 분석을 통해 검증하였다. 검증결과, 사회 연결망 서비스 이용에 유용성이 가장 큰 영향을 미치고, 다음으로 네트워크 효과, 사용자 참여, 시스템 품질 순으로 유의한 영향을 미치는 것으로 나타났다. 반면, 사회적 영향은 유의하지 않은 것으로 나타났다. 셋째, 중국과 한국은 어떠한 점에서 차이가 있는가? 가장 두드러진 차이는 사회적 영향에 있어서 한국은 유의 적인데 비해 중국이 유의적이지 않다는 점이다. 이는 한국과 중국 사이에 국가 문화적 차이가 존재하기 때문에 발생했다고 생각할 수도 있고, 중국이 인터넷 성장기에 있는데 비해 한국은 인터넷 성숙기에 있는 등의 기술적, 사회적, 경제적 발달 과정상의 차이에 의한 것이라고도 볼 수 있다.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.61-67
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• 2017

In order to establish and operate a rapid and effective disaster safety management system in an emergency situation that threatens the safety of citizens, such as disaster, accident or terrorism, appropriate responses are necessary. An integrated task execution system for rapid response and restoration should be implemented not only by the central ministries related to disaster management and response, but also by local governments, NGO, and individuals, under clear role sharing. In the case of Seoul city, it is urgent to establish an effective disaster management system for preventing and responding to disasters, because of the increasing possibility of natural disasters due to climate change, the threat of terrorism, urban decay and the industrial accidents. From the perspective of governance, this study tried to seek out countermeasures such as disaster response system and command system at disaster site centering on Seoul city government interdepartmental organization system, implementation process and systematization of response procedures.