• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.267-278
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• 2021

As time goes by, the amount of data is increasing regardless of government, business, domestic or overseas. Accordingly, research on big data is increasing in academia. Statistics is one of the major disciplines of big data research, and it will be interesting to understand the research trend of statistics through big data in the growing number of papers in statistics. In this study, we analyzed what studies are being conducted through abstract data of statistical papers in Korea and abroad. Research trends in domestic and international were analyzed through the frequency of keyword data of the papers, and the relationship between the keywords was visualized through the Word Embedding method. In addition to the keywords selected by the authors, words that are importantly used in statistical papers selected through Textrank were also visualized. Lastly, 10 topics were investigated by applying the LDA technique to the abstract data. Through the analysis of each topic, we investigated which research topics are frequently studied and which words are used importantly.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.1
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• pp.1-9
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• 2014

The purpose of this study was to identify the landscape characteristics of Youngnam-Lu by performing text analysis of related Korean poems over 600 years. A total of 354 poems were quantitatively analyzed for keywords and terms in particular categories such as nature. As a subsidiary analysis, topographic map was examined using CAD along with analysis of antique maps. Of the 354 poems reviewed, keywords frequently used are: 'Scenic sites'- 56 times, 'Long river' (長江) and 'Long stretched forest'(長林) - 39 times each, 'Superb scenery'- 31 times, 'Large field scenery'- 19 times, and 'Thousand-layered mountain view' - 14 times. In total, these keywords occurred 159 times in 44.9 % of these poems.1) The words used frequently in these poems, especially for those fall under category of nature, can be scored into different subcategories such as natural phenomena and geographical features. Occurrences of terms in each subcategory were main criteria for the analysis and the following is a list of subcategories with frequency in descending order: Natural phenomena (44%), geographical features (33%), plants (14%), and animals (9%). Among natural phenomena, phenomena related to sky were most frequent, 41 times, which might be due to superb sky view from Youngnam-Lu. Also geographical features of Youngnam-Lu were reflected in these poems, and the most prominent features were 'flow of the river' and 'Sand island' located in the Milyang River. These poems contained fairly large number of terms related to musical instruments (8%) which suggest that Young-Nam-Lu as a place where various musical instruments performances were held.

• Journal of Environmental Impact Assessment
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• v.32 no.6
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• pp.556-576
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• 2023

This study attempted to find a way to utilize idle spaces in rural areas as a way to respond to rural extinction. Based on the keywords "startup," "youth start-up," and "youth start-up+rural," start-up+rural," the study sought to identify the perception of idle facilities in rural areas through the keywords "Idle facilities" and "closed schools." The study presented basic data for policy direction and plan search by reviewing frequency analysis, major keyword analysis, network analysis, emotional analysis, and domestic and foreign cases. As a result of the analysis, first, it was found that idle facilities and school closures are acting importantly as factors for regional regeneration. Second, in the case of youth startups in rural areas, it was found that not only education on agriculture but also problems for residence should be solved together. Third, in the case of young people, it was confirmed that it was necessary to establish digital utilization for agriculture by actively starting a business using digital. Finally, in order to attract young people and revitalize the region through best practices at home and abroad, policy measures that can serve as various platforms such as culture and education as well as startups should be presented in connection with local residents. These results are significant in that they presented implications for youth start-ups in rural areas by reviewing start-up recognition for the influx of young people as one of the alternatives for the use of idle facilities and regional regeneration, and if additional solutions are presented through field surveys, they can be used to set policy goals that fit the reality.

• Journal of the Korean earth science society
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• v.28 no.7
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• pp.811-824
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• 2007

Photographs and illustrations are integral parts of current science textbooks' inscriptions. This study analysed and compared the function and structure of photographs and illustrations used in high school earth science textbooks of the 6th and 7th national curriculum. The findings of the function analysis showed that 'illustrative' function was far superior to other functions in terms of frequency and ratio. The illustrative function varied more in the 7th curriculum textbooks, especially in earth science I. 'Explanatory' and 'complementary' functions, which were relatively ignored in the 6th curriculum, significantly increased in the 7th curriculum textbooks. 'Decorative' function increased on the whole. The results of the structure analysis revealed that indexical reference remarkably decreased in the 7th curriculum textbooks, which means the retrogression of co-deployment with main text. 'Multiple' organized photographs and illustrations significantly increased in the 7th curriculum textbooks, while 'pair' and 'series' organization did not show an increase at all. It was suggested in this study that 'inquisitive' function and 'complementary' organization should be supplemented in terms of both function and structure. Moreover, the functional and structural aspects of scientific inscriptions including photographs and illustrations should be utilized by the certification criteria of science textbooks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.640-649
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• 2018

This study analyzed the consumer awareness of cycling wear using web mining, one of the big data analysis methods. For this, the texts of postings and comments related to cycling wear from 2006 to 2017 at Naver cafe, 'people who commute by bicycle' were collected and analyzed using R packages. A total of 15,321 documents were used for data analysis. The keywords of cycling wear were extracted using a Korean morphological analyzer (KoNLP) and converted to TDM (Term Document Matrix) and co-occurrence matrix to calculate the frequency of the keywords. The most frequent keyword in cycling wear was 'tights', including the opinion that they feel embarrassed because they are too tight. When they purchase cycling wear, they appeared to consider 'price', 'size', and 'brand'. Recently 'low price' and 'cost effectiveness' have become more frequent since 2016 than before, which indicates that consumers tend to prefer practical products. Moreover, the findings showed that it is necessary to improve not only the design and wearability, but also the material functionality, such as sweat-absorbance and quick drying, and the function of pad. These showed similar results to previous studies using a questionnaire. Therefore, it is expected to be used as an objective indicator that can be reflected in product development by real-time analysis of the opinions and requirements of consumers using web mining.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.253-263
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• 2016

We analyzed the social issue 'image of the elderly' using Big Data and Social Network Analysis. First, we analyzed the words extracted by the text mining technique by inputting the keyword 'elderly'. As a result of analysis, the image of the elderly viewed through media such as cafes, blogs, etc. Representing the trend of the public was using the word 'Senior' the most. The image of the elderly is expressed using the word having the highest frequency in the top 10, "The elderly are 'Senior' people who are respected by society, they are organized to earn money, to earn their qualifications, to health, and to 'Seniors' who desire to work healthy up to 100 years old". The purpose of this study is to differentiate from the existing analysis method by analyzing the macro-level image of the elderly including the social discourse by collecting vast amount of data and analyzing it with the social networking technique. When the image of the elderly that the public perceives is positively expressed as 'Senior', it can be said that the direction of the current elderly policy is evaluated as a desirable direction. On the other hand, it was able to feel the 'desire' of the public who wanted to be evaluated. Therefore, the policy direction of the elderly to be applied in the future should be the policy that enables the elderly to be perceived as 'Necessary existence' in society by taking on social roles. In addition, we proposed to implement the policy of the elderly that reflects priorities such as job creation, welfare, and alienation that can activity and maintain health.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.1005-1014
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• 2017

Focusing on the role of the science museum as an institution to improve the scientific literacy of the public, this study investigated public perception and behavior about science museum to know how much science museums affect the public by using social media big data analysis. For this purpose, we extracted texts containing 'science museum' in Naver blogs and Twitter, analyzed them by using network, frequency, co-ocurrence, and semantics analysis and compared them with the results in English speaking countries. As a result, blogs were mainly concerned with science museum among parents who have young children, while in Twitter posts from many students who visited as a group appeared. Therefore, the Korean public used science museum mainly as a space for children's experience, and in this case, programs and exhibitions of science museums are perceived positively. On the other hand, students who visited as a group showed some negative emotions. The result of comparison with the cases of foreign countries in terms of the function of the third generation science museum such as communications with the science museum and the public and the participation of the public in science, the Korean public hardly mentioned the scientific contents, words related to communications such as 'argue', and curators or staff after visiting the science museum. In contrast to many verbs related to meaningful activities such as 'learn', 'participate', 'listen', 'read', 'ask', 'think' appeared in English, only a small number of verbs include 'ask' and 'thin' appeared in Korean. Therefore, science museum need to improve impression, communicating with public, and involving activity with impact and variety after visit.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.149-156
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• 2010

There are elements for the game user get into the emotion of flow (the mental state of operation in which the person is fully immersed in what he or she is doing by a feeling of energized focus, full involvement, and success in the process of the activity). In game contents, for example, a considerable sophisticated application of 'sound' is one of the important elements must be considered for a qualified game development process. If a proper audio condition is satisfied, a game user is intrinsically solving problems by auditorial sense and the participant get into immersing into the game spontaneously. There are elements in game contents storytelling for the user to be in flow condition, this study will be analyzing a game user's flowing, especially with repetitive usage of sound. To be accurate, 'flow analysis' of Csikszentmihalyi. M, and 'flow factors' of Donna L. Hoffman & Thomas P. Novak, in addition, would be proper references in the research. comparing to a precedent study that analyzed a game and flow focused on visual elements. Ponpoko(Sigma Enterprise Inc., 1981) and Bio Hazard 4(Capcom, 2007) will be given as the main texts. To achieve the desired proposition in the study, user's reaction is monitored by listening repeatable and ordinary sound. Questionnaires are including Frequency Analysis, MANOVA(multivariate analysis of variance).

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.193-200
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• 2021

Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.311-320
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• 2023

This paper analyzes viewers' perception of investigative journalism before and after COVID-19, and examines the direction of investigative journalism using big data. Based on the previous research set as a social science model, the relationship between words related to big data TV current affairs programs and investigative journalism in this paper was investigated before and after the appearance of COVID-19. We visualized changes in viewers' perception of investigative journalism by analyzing text data obtained through the use of Textom, with TV current affairs programs and investigative journalism as keywords. Data was collected from 2017 to June 2022 and refined for analysis. We visualized connectivity centrality using Ucinet 6.0 and Netdraw, and clustered the number of keywords and their frequency using Concor analysis. Our study found a clear change in viewer perception before and after the pandemic. As an implication of this thesis, big data analysis was conducted with the investigative journalism as the main keyword, and the direction of the investigative journalism was presented based on the analysis. Furthermore, based on previous research, we suggest effective approaches for investigative journalism after the pandemic to better engage viewers.