• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.535-547
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• 2019

Website localization not only means to transliterate the content and text of the original language web pages, but also adjust it according to the culture and demand of the target language market, so as to improve the acceptance of the local market. From the perspective of localization, this paper analyzes localization strategies and shortcomings of Chinese pages of Jeju official tourist website 'visit Jeju'. First, by comparing the differences between the Chinese web pages and the Korean web pages in the content and text, the localization of the website is summed up, and then the differences are compared with the local tourism website 'Mafeongwo' in China. Not only offering and suggestions for improving the translation quality in the Chinese web pages of 'Visit Jeju'. but also the making some further suggestions for the other Korean websites.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.19-39
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• 2018

Recently, fake news has attracted worldwide attentions regardless of the fields. The Hyundai Research Institute estimated that the amount of fake news damage reached about 30.9 trillion won per year. The government is making efforts to develop artificial intelligence source technology to detect fake news such as holding "artificial intelligence R&D challenge" competition on the title of "searching for fake news." Fact checking services are also being provided in various private sector fields. Nevertheless, in academic fields, there are also many attempts have been conducted in detecting the fake news. Typically, there are different attempts in detecting fake news such as expert-based, collective intelligence-based, artificial intelligence-based, and semantic-based. However, the more accurate the fake news manipulation is, the more difficult it is to identify the authenticity of the news by analyzing the news itself. Furthermore, the accuracy of most fake news detection models tends to be overestimated. Therefore, in this study, we first propose a method to secure the fairness of false news detection model accuracy. Secondly, we propose a method to identify the authenticity of the news using the social data broadly generated by the reaction to the news as well as the contents of the news.

• The Korean Journal of Archival Studies
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• no.58
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• pp.95-145
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• 2018

As a communication language, non-text records and archives such as photographs, images, and videos are becoming more important than text records. As a result, domestic institution, organizations, and specialists related to record management have been emphasizing the necessity of the archive management system appropriate for the distinctive characteristics of image records. This paper summarizes the points to be considered for the establishment of the Korean audiovisual archives management system, based on the writer's experience of participating in the International Audiovisual Archives Management Training for professionals in the world(INA Frame) of 2018. In particular, various types of contents including cinema, broadcasting, cultural should be managed at the national level. Furthermore, the necessity of a new concept establishment for "public audiovisual heritage" is accentuated. In addition, the tasks regarding the establishment of foundation, such as the modification of the related systems and infrastructures, and the layouts of the institution or governance, should be reviewed and revised. Moreover, the preliminary tasks revised, should be lead to the establishment of stable management system for public audiovisual archives of Korea.

• The Southeast Asian review
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• v.21 no.2
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• pp.155-182
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• 2011

The purpose of this paper is to examine the process of Islamization in Java, focusing on religious discourse among Muslim intellectuals. How Islamic tradition and knowledge have been perceived and utilized and how they have interacted with those of non-Islamic origin will be discussed. For this, three Islam-related books written in different phases of Islamization are to be analyzed: Babad Tanah Jawi compiled by Mataram court in the 17th century, Serat Cabolek written by a court poet in the late 18th or early 19th century, and Fikih Anti-korupsi published by reformist and scriptural organization of Muhammadiyah in 2006. Babad portrays conversion to Islam as a process which does not demand a dramatic outward change in religious practice. Scriptural tradition of Islam and the dichotomy between what is Islamic and what is not were not mentioned in order to explain conversion. Spiritual and mystical enlightenment was emphasized heavily, and for this, the importance of non-Islamic traditions was fully acknowledged. Serat tells us that this period was characterized by the surge of scriptural and shariah-minded Islam, maintenance of non-Islamic traditions, clashes between scriptural Islam and old religious traditions, and Javanese efforts to harmonize these. In Fikih, non-Islamic tradition is replaced by scriptural Islam and disappears totally. Interpretations based on the Scriptures, however, do not monopolize it and are used together with mode of analysis from the West. It is too much to call this 'intellectual syncretism', in that Islamic Scriptures and Western knowledge do not mix but stand side by side. Three books under examination reveal that the process of Islamization in Java has not been uniform. It has been conditioned and shaped by local socio-cultural and historical circumstances, where active engagement and intellectual exercise of Javanese Muslims have played key roles. Even Islamization in the last few decades is not an exception. The surge of scripturalism and fundamentalism does not simply bring about a move to Arabization. Interacting with local intellectual and socio-cultural milieu, this has produced a sort of intellectual hybridity, which is unique to Muslim society of Java.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.155-161
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• 2022

The outbreak of the Covid 19 increased the interest on the 'Virtual Tourism. In this research the key word related to "Virtual Tourism" was collected through the search engine and was analyzed through the data mining method such as Log-odds ratio, Frequency, and network analysis. It is clear that the information and communication dependency increased in the field of "Virtual Tourism" after Covid 19 and also the trend have changed from "securement of the contents diversity" to "project related to economic recovery." Since the demands for the "Virtual Reality" such as metaverse is increasing, there should be an economic and circular structure in which the government establishing a related policy and the funding plan based on the research, local government and the private companies planning and producing discriminate contents focusing on AISAS(Attension, Interest, Search, Action, Share) aand the research institutions and universities developing, applying, assessing and commercializing the technology.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.2
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• pp.79-88
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• 2022

Social media big data includes a lot of information that can identify not only consumer consumption patterns but also local images. This paper was collected annually data including 'Samcheok' from 2015 to 2019 from Blog and Cafe of Naver and Daum in domestic portal site, and analyzed the regional image change after refining keyword which forms the regional image by performing text mining and network analysis. According to the research results, the regional image of 2015 was expressed with image cognitive elements of the nearby place name or place etc. such as 'Jangho Port', 'Donghae', and 'Beach'. However the regional image both 2016 and 2019 were changed with image cognitive elements of 'SamcheokSolbich' which is a special place within region. Therefore as the keywords related to the local image include 'Jangho Port' and Resort, which are the representative attractions of Samcheok, it can be seen that the infrastructure factor plays a big role in forming the local image. The significance test for the network data used the bootstrap technique, and the p-values in 2015, 2016, and 2019 were 0.0002, 0.0006, and 0.0002, respectively, which were found to be statistically significant at the significance level of 5%.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.30-45
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• 2022

This study explored the issues of industrial mathematics in online news articles and online forums in Korea and the US by using text mining and compared the results. Text data about industrial mathematics were collected from news articles of Naver, a major portal site, and postings and replies on Clien as resources of Korea, and from news articles by the New York Times and CNN as well as postings and replies on Reddit as resources of the US. Structural topic modeling analyses were performed, the major results of which were as follows. First, news articles in Korea mainly dealt with the necessity of industrial mathematics and government support. On the contrary, the news articles in the US focused more on various fields where industrial mathematics fields were utilized. Second, in Korea, the same number of issues with different topics were discussed in news articles and online forums, whereas in the US more issues were covered in news articles than in online forums. It was suggested academic implications for researchers and practical implications for the government for settling industrial mathematics in Korea.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.37-48
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• 2022

With development of Digital Technology, social issues are communicated through digital-based platform such as SNS and form public opinion. This study attempted to analyze big data from Twitter, a world-renowned social network service, and find out the public opinion. After collecting Twitter data based on 14 keywords for 1 year in 2021, analyzed the term-frequency and relationship among keyword documents with pearson correlation coefficient using Data-mining Technology. Furthermore, the 6 main topics that on the center of information security field in 2021 were derived through topic modeling using the LDA(Latent Dirichlet Allocation) technique. These results are expected to be used as basic data especially finding key agenda when establishing strategies for the next step related industries or establishing government policies.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.816-827
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• 2021

The purpose of this study is to understand the relationship between fear and anger emotions in the discourse produced by the media during the period of major emerging infectious diseases (SARS, Swine Flu, MERS, and COVID-19) that occurred since 2000 in Korea. The researcher collected editorial articles of the major daily newspaper after a significant epidemic of new infectious diseases and analyzed them using the Extended Parallel Processing Model (EPPM) and text mining techniques. In all epidemic times, fear appears stronger than anger, but the smaller the fear, the greater the risk control message is produced. In detail, fear emerges strongly in the discourse of the risk of infectious diseases or the economic crisis. Anger appears strong when the government's quarantine failures, groups where group infections occurred, and concealing information about infectious diseases. In this process, anger is strongly expressed against the factors that threaten the safety of society. Anger is also an emotion that can justify strong quarantine, but it can be the basis for discourse on minority hate. In this respect, anger is a two-sided emotion, so it must be handled carefully in the media.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.115-126
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• 2022

The purpose of this study is to try to IPA(Importance-Performance Analysis) by applying text mining approaches to user review data for korea mobile banking applications, and to derive priorities for improvement. User review data on mobile banking applications of korea commercial banks (Kookmin Bank, Shinhan Bank, Woori Bank, Hana Bank), local banks (Gyeongnam Bank, Busan Bank), and Internet banks (Kakao Bank, K-Bank, Toss) that gained from Google playstore were used. And LDA topic modeling, frequency analysis, and sentiment analysis were used to derive key attributes and measure the importance and satisfaction of each attribute. Result, although 'Authorizing service', 'Improvement of Function', 'Login', 'Speed/Connectivity', 'System/Update' and 'Banking Service' are relatively important attributes when users use mobile banking applications, their satisfaction is not at the average level, indicating that improvement is urgent.