• The Journal of Information Systems
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• v.27 no.4
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• pp.71-96
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• 2018

Purpose Recently, social interest in the convergence research is at its peak. However, contrary to the keen interest in convergence research, an infrastructure that makes it easier to recruit researchers from other fields is not yet well established, which is why researchers are having considerable difficulty in carrying out real convergence research. In this study, we implemented a researcher recommendation system that helps researchers who want to collaborate easily recruit researchers from other fields, and we expect it to serve as a springboard for growth in the convergence research field. Design/methodology/approach In this study, we implemented a system that recommends proper researchers when users enter keyword in the field of research that they want to collaborate using word embedding techniques, word2vec. In addition, we also implemented function of keyword suggestions by using keywords drawn from LDA Topicmodeling Algorithm. Finally, the UI of the researcher recommendation system was completed by utilizing the collaborative messenger Slack to facilitate immediate exchange of information with the recommended researchers and to accommodate various applications for collaboration. Findings In this study, we validated the completed researcher recommendation system by ensuring that the list of researchers recommended by entering a specific keyword is accurate and that words learned as a similar word with a particular researcher match the researcher's field of research. The results showed 85.89% accuracy in the former, and in the latter case, mostly, the words drawn as similar words were found to match the researcher's field of research, leading to excellent performance of the researcher recommendation system.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.173-182
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• 2016

AI (Artificial Intelligence) has attracted interest as a key element for technological advancement in various fields. In Korea, internet companies are leading the development of AI business technology. Active government funding plans for AI technology has also drawn interest. But not everyone is optimistic about AI. Both positive and negative opinions coexist about AI. However, attempts on analyzing people's opinions about AI in a quantitative way was scarce. In this study, we used text mining on SNS (Social Networking Service) to collect opinions about AI. And then we performed a comparative analysis about whether people view it as a positive thing or a negative thing and performed a comparative analysis to recognize popular key-words. Based on the results, it was confirmed that the change of key-words and negative posts have increased through time. And through these results, we were able to predict trend about AI.

• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.3
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• pp.20-32
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• 2024

Objectives: The purpose of this study is to investigate the domestic awareness of Korean medicine treatment for dysmenorrhea. Methods: We conducted word frequency analysis, 2-gram analysis, degree centrality analysis, and CONCOR analysis using big data searched for '월경통', '생리통', and '한방' as main key words. The searching period was set from 2019 to 2023. Results: The number of original text data searched through main key words was on the rise. Specific words related to Korean medicine treatment were in the top 100, words related to herbal medicine ranked particularly high. The top 100 words were divided into 4 clusters (A; Body parts or body substances related to dysmenorrhea, B; Symptoms that accompany dysmenorrhea, C; Physiological or pathological situations related to dysmenorrhea, and D; Treatment related words of dysmenorrhea) and some clusters showed close relationships between each others (B-C, B-D, and C-D). Conclusions: Our results suggest that interest in Korean medicine treatment for dysmenorrhea is increasing. Also, as public understanding is estimated to be high, specific information such as method, process and mechanism of Korean medicine treatment seems to be needed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.521-524
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• 2009

Everyone can easily acquire learning materials on web environment that rapidly develops. Because the importance of English education has been emphasized day by day, many English education systems are introduced. However, previous most English education systems support only single user mode, and cannot deal with a newly coined word such as 'WIKIPEDIA'. In order to lead a user's learning ability with interest and enjoyment, this paper propose an online English word game system implementing a 'scrabble' board game. The proposed English word game system has the following characteristics. First, the proposed system supports both single user mode and multi user mode with a virtual user based on artificial intelligence. Second, the proposed system can recognize newly coined words such as 'WIKIPEDIA' by using NEVER Open API dictionary. Third, the proposed system offers familiar user interface so that a user can play the game without any manual. Therefore, it is expected that the proposed system can help users to learn English words with interest and enjoyment.

• Journal of the Korea Institute of Building Construction
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• v.10 no.5
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• pp.31-36
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• 2010

Rising interest rates positively affect investment in construction, while falling interest rates affect it negatively. In other words, the interest rate is one of the most critical factors affecting the construction sector. The purpose of this research is to analyze the relationship between the annual interest rate and construction contracts, and to present a model for quantitatively forecasting the economic performance of the construction sector. Based on the statistical data of interest rate changes for 19 years (from 1991 to 2009), this research induces an equation through regression analysis that incorporates interest rate and construction contract amounts as independent and dependent variables, respectively. The result of the analysis shows that, in the building and private sector, the interest rates are closely related to, with a correlation coefficient as high as 0.85. It was also indicated that the contract amounts of private and building sectors may increase quite rapidly in 2012.

• The Research Journal of the Costume Culture
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• v.29 no.5
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• pp.634-650
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• 2021

This study was conducted to investigate the effect of relationship and service marketing on the brand interest and behaviors among Korean and Chinese active senior consumers and whether this effect differed between the two groups. A survey was conducted by having participants complete questionnaires administered by a research firm. For empirical analysis, frequency, EFA, CFA, SEM, the metric invariance test, and multiple-group comparison analysis were performed. The analysis results revealed that relationship marketing positively affected both brand interest and consumer behavior. Although service marketing positively affected brand interest, it did not have a significant effect on consumer behavior. In other words, brand interest positively affected consumer behavior through relationship and service marketing. Multiple-group comparison analysis demonstrated that no difference existed between Korean and Chinese active consumers in terms of how relationship marketing affected their brand interest, but a difference existed in how it affected their behavior. Service marketing had a greater influence on Chinese active senior consumers' brand interest than on Korean active senior consumers. However no difference existed between the two groups with respect to how service marketing affected their behaviors. Finally, brand interest had a positive effect only on Korean active senior consumers' behavior through relationship and service marketing, but not on Chinese active senior consumers. In conclusion, relationship and service marketing should be used to enhance the brand interest among Korean active senior consumers, and business activities should be planned by building relationships with Chinese active senior consumers to affect their behavior.

• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.348-358
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• 2022

This study attempted to verify the influence of appearance satisfaction on interest in eye makeup and makeup care behavior in female consumers and provide basic data which are needed to plan marketing strategies and develop cosmetics in the cosmetics market. For this, a questionnaire survey was performed against adult women in their 20-50s from the capital region. A total of 399 copies were used for final analysis, and the results found the followings: First, differences were found in appearance satisfaction, interest in eye makeup and makeup care behavior by general characteristics. In other words, interest in eye makeup started with 'self-care', showing interest in chasing a trend. Second, concerning the effects of appearance satisfaction on interest in eye makeup, as the respondents were more satisfied with their facial contour, they were more interested in eye makeup. Third, in terms of the influence of appearance satisfaction on eye makeup care behavior, as they were more satisfied with their skin conditions, trend-setting makeup care behavior increased. Consequently, increase in appearance satisfaction enhanced interest in eye makeup, having an influence on makeup care behavior.

• Educational Technology International
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• v.16 no.2
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• pp.141-166
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• 2015

The purpose of this study was to examine the effects of using visual stimulation and gesture, namely embodied language learning, on learning achievement and learner's course interest in the EFL classroom. To investigate the effectiveness of the proposed purpose, thirty two third-grade elementary school students participated and were assigned into four English learning class conditions (i.e., using animated graphic and gestures condition, using only animated graphic condition, using still pictures and gesture condition, and control condition). The research questions for this study are addressed below: (1) What differences are there in post and delayed learning achievement between imitating gesture group and non-imitating one and between animated graphic group and still picture one? (2) What differences are there in course interest between imitating gesture group and non-imitating one and between animated graphic group and still picture one? The Embodiment-based English learning system for this study was designed by using Microsoft's Kinect sensing devices. The results of this study revealed that students of imitating gesture group memorized and retained better words and sentence structure than those of the other groups. As for learner's course interest measurement, imitating gesture group showed a highly positive response to attention, relevance, and satisfaction for curriculum and using animated graphic influenced satisfaction as well. This finding can be attributed to the embodied cognition, which proposes that the body and the mind are inseparable in the constitution of cognition and thus students using visual simulation and imitating related gesture regard the embodied language learning approach more satisfactory and acceptable than the conventional ones.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.1019-1035
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• 2020

This study examines the millennial generation, who express themselves and share information on social media after experiencing constantly changing 'hot places' (places of interest) in contemporary cities, with the goal of analyzing space consumption behaviors. Data were collected via an Instagram crawler application developed with Python 3.4 administered to 19,262 posts using the term 'hot places' from November 1 and December 15, 2019. Issues were derived from a text mining technique using Textom 2.0; in addition, semantic network analysis using Ucinet6 and the NetDraw program were also conducted. The results are as follows. First, a frequency analysis of keywords for hot places indicated words frequently found in nouns were related to food, local names, SNS and timing. Words related to positive emotions felt in experience, and words related to behavior in hot places appeared in predicate. Based on importance, communication is the most important keyword and influenced all issues. Second, the results of visualization of semantic network analysis revealed four categories in the scope of the definition of "hot place": (1) culinary exploration, (2) atmosphere of cafés, (3) happy daily life of 'me' expressed in images, (4) emotional photos.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.49-55
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• 2019

This study is on the trend of real estate market using text mining and big data. The data were collected through internet news posted on Naver from August 2016 to August 2017. As a result of TF-IDF analysis, the frequency was high in the order of housing, sale, household, real estate market, and region. Many words related to policies such as loan, government, countermeasures, and regulations were extracted, and the region - related words appeared the most frequently in Seoul. The combination of the words related to the region showed that the frequencies of 'Seoul - Gangnam', 'Seoul - Metropolitan area', 'Gangnam - reconstruction' and 'Seoul - reconstruction' appeared frequently. It can be seen that the people's interest and expectation about the reconstruction of Gangnam area is high.