• The Journal of Information Systems
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• v.30 no.4
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• pp.277-301
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• 2021

Purpose The purpose of this study is to analyze the sentiment responses of the general public to non-face-to-face work using text mining methodology. As the number of non-face-to-face complaints is increasing over time, it is difficult to review and analyze in traditional methods such as surveys, and there is a limit to reflect real-time issues. Approach This study has proposed a method of the research model, first by collecting and cleansing the data related to non-face-to-face work among tweets posted on Twitter. Second, topics and keywords are extracted from tweets using LDA(Latent Dirichlet Allocation), a topic modeling technique, and changes for each section are analyzed through DTM(Dynamic Topic Modeling). Third, the complaints of non-face-to-face work are analyzed through the classification of positive and negative polarity in the COVID-19 section. Findings As a result of analyzing 1.54 million tweets related to non-face-to-face work, the number of IDs using non-face-to-face work-related words increased 7.2 times and the number of tweets increased 4.8 times after COVID-19. The top frequently used words related to non-face-to-face work appeared in the order of remote jobs, cybersecurity, technical jobs, productivity, and software. The words that have increased after the COVID-19 were concerned about lockdown and dismissal, and business transformation and also mentioned as to secure business continuity and virtual workplace. New Normal was newly mentioned as a new standard. Negative opinions found to be increased in the early stages of COVID-19 from 34% to 43%, and then stabilized again to 36% through non-face-to-face work sentiment analysis. The complaints were, policies such as strengthening cybersecurity, activating communication to improve work productivity, and diversifying work spaces.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.563-572
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• 2021

Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.543-552
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• 2022

This study tried to analyze the social perception of news coverage on inclusive education by using big data analysis techniques. News articles were collected according to the 5-year policy period for the development of special education, and news big data was analyzed. As a result, the frequency of media reports during the five-year policy period of special education development from 1998 in the first year to 2022 in the fifth year was steadily increased. During this period, the top topic words in news coverage changed from words conceptualizing simple definitions to words expressing the active will of students with disabilities for the actual right to education. In addition, as a result of emotional analysis of the overall keywords in the inclusive education news coverage, it was found that the positive word ratio was high. Through this study, it can be seen that interest in news coverage on inclusive education is increasing quantitatively in accordance with changes in special education policies, and the demand for inclusive education is being concreted in the direction of guaranteeing the actual right to education of students with disabilities.

• Journal of Korean Academy of Dental Administration
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• v.6 no.1
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• pp.43-47
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• 2018

Online data can be explored for topics browsed by an unspecified population to detect professional information demands more quickly. The purpose of this study was to collect and analyze online questionnaires in order to find information required by dental hygienists. We analyzed the frequency of posting words after isolating nouns from questions of the Korean Dental Hygienists Association homepage's Q & A section, the Naver Knowledge-iN service, and a dental hygienists' online meeting site in Naver. We found that queries of the Korean Dental Hygienists Association's homepage were concentrated on education renewal and license notification. The queries about dental hygienists in the Naver Knowledge-iN service used words related to job or career choice, and the queries of the dental hygienist-affiliated site had many words related to dental practice, dental work, and turnover. This study showed that the information needs of unspecified dental hygienists varied depending on the online environment such as homepage, blog, and information service.

• Journal of The Korean Association For Science Education
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• v.35 no.6
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• pp.1031-1038
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• 2015

The list of words and the semantic structure that connects them have been important to the areas of psychology, psychoanalysis, linguistics, and education. Some researchers in constructivist perspectives of science education also have interests in the structure of science concepts expressed by science terminologies. The purpose of this paper was to investigate the test environment factors influencing the word association test as a method to identify students' semantic structures for science terminologies. We set up four variables that are possibly considered in recognizing a word as having scientific meaning. The four variables include: noticing whether stimulus words are science terminologies or not, presenting science terminologies and everyday words alternately, whether presider is science teacher or not, and whether students have learned the concepts or not. In comparing the test results of the experimental group and the control group, we have checked whether each variable influences the test result or not. Stimulus words included nine science terminologies containing both ordinary and scientific meanings, and subjects included 282 middle school students. The degree of recognizing science terminology as having scientific meaning was found to increase only when stimulus words were noticed as science terminologies. In the case of the remaining variables, there was no difference between the control group and the experimental group.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.35-42
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• 2013

Developing English-Korean machine translation system requires the construction of information about the languages, and the amount of information in English-Korean transfer dictionary is especially critical to the translation quality. Newly created words are out-of-vocabulary words and they appear as they are in the translated sentence, which decreases the translation quality. Also, compound nouns make lexical and syntactic analysis complex and it is difficult to accurately translate compound nouns due to the lack of information in the transfer dictionary. In order to improve the translation quality of English-Korean machine translation, we must continuously expand the information of the English-Korean transfer dictionary by collecting the out-of-vocabulary words and the compound nouns frequently used. This paper proposes a method for expanding of the transfer dictionary, which consists of constructing corpus from internet newspapers, extracting the words which are not in the existing dictionary and the frequently used compound nouns, attaching meaning to the extracted words, and integrating with the transfer dictionary. We also develop the tool supporting the expansion of the transfer dictionary. The expansion of the dictionary information is critical to improving the machine translation system but requires much human efforts. The developed tool can be useful for continuously expanding the transfer dictionary, and so it is expected to contribute to enhancing the translation quality.

• Journal of Information Management
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• v.41 no.2
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• pp.31-46
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• 2010

Now named-entity recognition(NER) as a part of information extraction has been used in the fields of information retrieval as well as question-answering systems. Unlike words, named-entities(NEs) are generated and changed steadily in documents on the Web, newspapers, and so on. The NE generation causes an unknown word problem and makes many application systems with NER difficult. In order to alleviate this problem, this paper proposes a new feature generation method for machine learning-based NER. In general features in machine learning-based NER are related with words, but entities in named-entity dictionaries are related to phrases. So the entities are not able to be directly used as features of the NER systems. This paper proposes an encoding scheme as a feature generation method which converts phrase entities into features of word units. Futhermore, due to this scheme, entities with semantic information in WordNet can be converted into features of the NER systems. Through our experiments we have shown that the performance is increased by about 6% of F1 score and the errors is reduced by about 38%.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.43-49
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• 2005

The purpose of this study was to provide the fundamental data for the gradual apartment management plan. Through the questionnaire survey, residential satisfactions and maintenance consciousness were investigated. As the result of statistic analysis, the residents' needs for improvement according to the life span of apartment communities were found out. And we can also compare the differences about maintenance consciousness to the life span of apartment. The major research findings are as follows. First, the satisfaction averages according to the life span of apartment communities were classified two groups, less than 10 years' and over than 10 years'. By the requirement for improvement according as the life span apartment communities, habitability factors was demanded in less tham 10 years' group and safety factors was required in over than 10 years' group, Second, dwellers have high preference about remodeling to reconstruction. Especially we have to pay attention to the result that positive consciousness of remodeling and long term reparative marked highly in the group which has the short elapsed years. These results represent the possibility gradual step-by-step remodeling. In other words, the object of remodeling is not only odeteriorated apartments but also new apartments to have short elapsed years.

• Journal of Korean Medical classics
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• v.27 no.3
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• pp.167-182
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• 2014

Objectives : In this article, an analysis of the changing theory(從化理論) of Sameumsamyang(三陰三陽) and Pyobonjung(標本中) in some important medical books, and the historical contexts of those is investigated. Methods : Primary literatures about the changing theory were searched by key words of Sameumsamyang and Pyobonjung in main medical texts, and then analyses and selecting of significant documents have followed. Results : The application of the changing theory to clinical treatment has been mainly done in the process of comprehension and practice about "Sanghanron(傷寒論)". Getting out of simple explanation about meaning of paragraphs in "Sanghanron", the clinical application has been expended to detail drug instruction and prescription managements. Conclusions : The changing theory of Sameumsamyang and Pyobonjung has been actively applied to supporting clinical treatment historically, not recognized merely as a ideal theory.

• Fashion & Textile Research Journal
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• v.16 no.3
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• pp.366-377
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• 2014

This paper is a comparative research study between Korean and American women's garments from the 1910s to 1930s. It focuses on the articles and advertisements of Korean women's magazines and American women's magazines. The Korean women's magazines investigated are 신여자[Siyeoja], 신가정[Singajung], 부인[Buin], 신여성[Sinyeosung], and 여성[Yeosung]. The American woman's magazine investigated is Ladies' Home Journal. This paper explores the differences and similarities between the garments that appear in these magazines. There is little evidence about women's clothing in Korean women's magazines while the American women's magazine includes a lot of information about women's dress and life. Korean women usually wore Korean traditional costumes with traditional terms like Chima and Jeogori but they wore western shoes, stockings, shawls, umbrellas, and some clothing with western materials such as lace, velvet, and rayon with borrowed words. These western accessories and some clothing materials like lace and rayon were the same fashion in America. So, Korean women wore traditional and western clothing together while American women wore clothing influenced by Paris fashion. American women wore various pieces of clothing like suits, frocks, coats and sportswear with undergarments. There were also lots of advertisements about women's under garments and sportswear which was different from Korean women's clothing during the period.