• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.7-27
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• 2020

With accommodation of a population of many young people and families due to Hangang River New Town Housing Project and development of railway station spheres, a need is increasing to improve the quality of public libraries service for Gimpo citizens and to establish more libraries. This study thus analyzed the book lending data of Gimpo City libraries, and the city's libraries-related social media big data in an effort to forecast the users, and thus to propose four library service improvement measures. First, in terms of book gathering and book development policy plans, a proposal was made to expand good books for children and youth, and to expand general original-language books related to learning of English, and English books for children. Second, in terms of the establishment of additional libraries or specialization strategy, a proposal was made to establish exclusive children's libraries or English libraries, and to establish library specialization strategy with a focus on children and English themes. Third, in terms of library culture programs, a proposal was made to provide library culture programs in relation to children education and to expand weekend library culture programs. Fourth, in terms of library facilities, considering the convenience of parking facilities, a proposal was made to establish libraries near apartment complexes.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.254-261
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• 2024

Among eco-friendly energy, solar energy is one of the renewable energy sources that is developing in the spotlight in many countries. In line with this, the Korean government and local governments are carrying out projects to provide subsidies for the distribution of household solar power, raising the spread of household solar power and awareness. However, due to the lack of research on consumer perception of household solar power, this study investigated the perception of household solar power from 2015 to 2022 by setting the central word as solar power. As a result, 2016 had the highest number of collections, and when the top 50 words for each year were analyzed, it was confirmed that words related to the installation and maintenance of household solar power dominated. And through CONCOR analysis, a total of four were derived: solar energy recognition, renewable and eco-friendly energy recognition, solar government policies, solar companies, and perceptions of households. Through emotional analysis, it was confirmed that 2021 had the most positive data. As a result, consumer perception of household solar power is positive based on what was mentioned above, but research on how to use negative opinions on waste control and installation and maintenance should be conducted.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.311-321
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• 2024

This study comprehensively analyzed the perceptions of Chinese consumers who have and have not purchased Samsung smartphones, based on data from the social media platform Weibo. Various big data analysis techniques were used, including text mining, frequency analysis, centrality analysis, semantic network analysis, and CONCOR analysis. The results indicate that positive perceptions of Samsung smartphones include aspects such as design aesthetics, camera functionality, AI features, screen quality, specifications, and performance, and their status as a premium brand. On the other hand, negative perceptions include issues with pricing, a yellow tint in photos, slow charging speeds, and safety concerns. These findings will provide a crucial basis for making significant improvements in Samsung's market strategy in China.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.169-177
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• 2021

Based on the technostress theory, this study aims to explore the effect of technostress caused by the use of social media during or after work hours on job turnover intention. This study conducted an online survey targeting 341 Chinese WeChat users. According to the results of the structural model analysis, role overload, role conflict, and work invasion that occur during work affect technostress, and social interaction overload, invasion of private life, and Fear of Missing Out (FoMO) that occur after work have a effect on technostress as well. Technostress occurring during work did not appear to have an effect on turnover intention, but technostress occurring after work was found to have a positive effect on turnover intention. It is expected that this study will be used as a basic data for the correct use of social media within an organization.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.5
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• pp.279-284
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• 2017

Currenty, in the era of big data, text mining and opinion mining have been used in many domains, and one of their most important research issues is to extract significant information from social media. Thus in this paper, we propose a logistic regression ensemble method of finding the main body text from blog HTML. First, we extract structural features and text features from blog HTML tags. Then we construct a classification model with logistic regression and ensemble that can decide whether any given tags involve main body text or not. One of our important findings is that the main body text can be found through 'depth' features extracted from HTML tags. In our experiment using diverse topics of blog data collected from the web, our tag classification model achieved 99% in terms of accuracy, and it recalled 80.5% of documents that have tags involving the main body text.

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• 한국체육학회지인문사회과학편
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• v.56 no.2
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• pp.303-320
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• 2017

This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.195-200
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• 2019

The purpose of this paper is to explore security guard's status and roles in society through media reports. Research method is to anlyze security Guard's 'Keyword Trend' and 'Keyword Frequency Analysis' by 'Big Kind' which enables 'News Big Data' analysis. The result came out by the analysis in sectional private security guard's history of settling down, growing up (quantity), and growing up (quality) by separating generations is that there are lots of attention and exposure from media about crime, security guard job, minimum wage, and 'Gabjil', but the images of security guard are recognized as victim of crime and 'Gabjil', and working in poor environment with minimum waged and ambiguous job, instead of people preventing crimes. In the future, stabilizing security guard's social status and work responsibility, and developing job professionalism are necessary to improve the images of security guard.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.831-847
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• 2013

The various types of data are being created in large quantities resulting from the spread of social media and the mobile popularization. Many companies want to obtain valuable business information through the analysis of these large data. As a result, it is a trend to integrate the big data technologies into the company work. Especially, Hadoop is regarded as the most representative big data technology due to its terabytes of storage capacity, inexpensive construction cost, and fast data processing speed. However, the authentication token system of Hadoop Distributed File System(HDFS) for the user authentication is currently vulnerable to the replay attack and the datanode hacking attack. This can cause that the company secrets or the personal information of customers on HDFS are exposed. In this paper, we analyze the possible security threats to HDFS when tokens or datanodes are exposed to the attackers. Finally, we propose the secure authentication protocol in HDFS based on hash chain.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.110-118
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• 2020

Social media data serves as a proxy indicator to understand the problems and the future of public opinion in Korean society. This research used 109,015 news data from 2016 to 2018 to analyze the sensitivity of the elderly and employment in Korean society, and explored the possibility of expanding the labor force in Korean society, which is facing a cliff between the elderly and the population. Topic keywords for employment of the elderly include "elderly*employment", "elderly*employment", and "elderly*wage". As a result of the analysis, positive sensitivity prevails for most of the period, and it is possible to expand the working-age population. Positive feelings about expanding employment opportunities for the elderly and negative feelings about low wages have brought to light the reality of the elderly who are still poor despite their work. In this study, social big data was used to analyze the perceptions and sensibilities of Korean society related to the elderly and employment through hierarchical crowd analysis and related text mining analysis.