• Title/Summary/Keyword: text culture

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Analysis of the Contents of Hanbok in the 「Home Life and Safety」 section of the High School Technical Family Textbook: Content Analysis and Text Mining Techniques are utilized (고등학교 기술·가정 교과서 「가정생활과 안전」 영역의 한복 내용 분석)

  • Shim, Joon Young;Baek, Min Kyung
    • Human Ecology Research
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    • v.59 no.2
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    • pp.261-273
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    • 2021
  • This study is not just a meaning of costume but a function of culture and includes addresses the associated emotions. As the interest of youths has increased recently, the importance of traditional costume education has been growing. Therefore, this study aims to analyze the contents of Hanbok in the 2015 revised high school technology and home textbooks using content analysis techniques and text mining techniques. As a result of the study, first, the symbolic meaning and characteristics of Hanbok and the beauty of Hanbok were practiced in daily life, and the value was found through the excellence of Hanbok and the modernization of Hanbok was dealt with Second, most of the illustrations related to traditional costumes were presented in various ways, but there were some regrets due to lack of quantity and quality. Third, the words used to explain traditional costumes were used in the form of culture, excellence, tradition, modernity, harmony, succession, etc. except for the types of clothing. Therefore, the results and discussions derived from this study are expected to help the textbooks to be efficiently selected and used in the field of the front line school along with the correct understanding of traditional culture in the process of selecting traditional culture contents and illustrations.

Analyzing XR(eXtended Reality) Trends in South Korea: Opportunities and Challenges

  • Sukchang Lee
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.221-226
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    • 2024
  • This study used text mining, a big data analysis technique, to explore XR trends in South Korea. For this research, I utilized a big data platform called BigKinds. I collected data focusing on the keyword 'XR', spanning approximately 14 years from 2010 to 2024. The gathered data underwent a cleansing process and was analyzed in three ways: keyword trend analysis, relational analysis, and word cloud. The analysis identified the emergence and most active discussion periods of XR, with XR devices and manufacturers emerging as key keywords.

A study on the humanistic measure about cultural changes of voice recognition technology (음성인식기술의 문화변동에 대한 인문학적 대응에 관한 연구)

  • Yuk, Hyun-Seung;Cho, Byung-Chul
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.21-31
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    • 2015
  • The Journal of Digital Policy & Management. This space is for the abstract of your study in English. Recently, advancements in voice recognition technology lead to a new oral cultural era. Text based on new oral cultures, can bring about a cultural revolution. This research is rooted within the humanistic approach, including oral and text. The goal of the research is the humanistic measurements in regards to these cultural issues. Just like the complementary relationship between oral and text for the future. First of all, we will discuss the aspects that have resulted in the change between a text culture to an oral culture. After checking these changes with regards to voice recognition technology, we will be able to discuss the possibilities and problems of this cultural change. We discussed expected outcomes, such as the complementarity of speaking and writing, the expansion from the private culture to the public culture, the possibilities of a simultaneous concurrency. We also discussed the necessity such as a new semiotic approach of the voice and preparation for the expansion of the world of life. Specifically, the necessity for the advancement and control of the Korean culture against the dominance of a global corporation will be explored. In this study, basic research will be undertaken to look at the possibility of the new voice recognition technology and cultural changes, that are expected to be able to be effectively utilized and continue into more detailed research.

Recommended Chocolate Applications Based On The Propensity To Consume Dining outside Using Big Data On Social Networks

  • Lee, Tae-gyeong;Moon, Seok-jae;Ryu, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.325-333
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    • 2020
  • In the past, eating outside was usually the purpose of eating. However, it has recently expanded into a restaurant culture market. In particular, a dessert culture is being established where people can talk and enjoy. Each consumer has a different tendency to buy chocolate such as health, taste, and atmosphere. Therefore, it is time to recommend chocolate according to consumers' tendency to eat out. In this paper, we propose a chocolate recommendation application based on the tendency to eat out using data on social networks. To collect keyword-based chocolate information, Textom is used as a text mining big data analysis solution.Text mining analysis and related topics are extracted and modeled. Because to shorten the time to recommend chocolate to users. In addition, research on the propensity of eating out is based on prior research. Finally, it implements hybrid app base.

Study on Effective Extraction of New Coined Vocabulary from Political Domain Article and News Comment (정치 도메인에서 신조어휘의 효과적인 추출 및 의미 분석에 대한 연구)

  • Lee, Jihyun;Kim, Jaehong;Cho, Yesung;Lee, Mingu;Choi, Hyebong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.149-156
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    • 2021
  • Text mining is one of the useful tools to discover public opinion and perception regarding political issues from big data. It is very common that users of social media express their opinion with newly-coined words such as slang and emoji. However, those new words are not effectively captured by traditional text mining methods that process text data using a language dictionary. In this study, we propose effective methods to extract newly-coined words that connote the political stance and opinion of users. With various text mining techniques, I attempt to discover the context and the political meaning of the new words.

A Study on the Textuality Represented in Modern Fashion Photographs (현대 패션사진에 나타난 텍스트성 연구)

  • Park, Mi-Joo;Yang, Sook-Hi
    • The Research Journal of the Costume Culture
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    • v.18 no.5
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    • pp.977-990
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    • 2010
  • Today, as individuals show their social identities and reflect their being as the members of society with a culture, an art style and communication function are stood out in fashion photographs. Accordingly, the meanings of images into text are expanded in its interpretative width through the acceptor's various terms. This researcher looked into four theories of both positions on the textuality of language and image, and considered the point of discussion on image of each theory through modern fashion photographs. First, the theory which divides language and image as auditory and visual recognitions in the textuality of language and image is limited from the view it focuses on only one side without considering the ambivalent elements of each field. For the textuality in modern fashion photographs, the observer attempts to turn it into text to give meaning to it as the recognition through five senses conforming to the acceptor's condition. Second, the theory dividing language and image into the text of time properties and spacial properties has limitation in the text, for acceptor's experience of the object appears as the structured form in time and space rather than being defined as two things like time and space. Third, the theory classifying the language and image text into conventional taste and natural taste has limitation from the view that image text is hardly an object of consistent classification in ease of recognition by the code accepted in society. Thus, this can't be fundamental approach for the understanding of the text of decoding trend represented in modern fashion photographs. Fourth, accordingly, this researcher focussed on contextual and arbitrary text of fashion photographs through the theory of Nelson Goodman which discusses image text through the differences in textuality. Basic mechanism of perceiving and recognizing and distinguish image is closely related to habit and custom like language. So, each acceptor perceives the image as a text through arbitrary interpretation obtained by individual, empirical, historical, and educational viewpoints. The textuality of modern fashion photographs aims to widen the range of diverse knowledge and understanding, transcending the regulations of simple function of existing fashion photographs. Consequently, this researcher puts forward the opinion of consistent and diverse follow-up studies on instilling meaning into fashion photographs for the understanding de-regulatory and de-constructive through various senses by avoiding only one sense-dependent fixed and regulatory properties of it.

Analysis of Research Trends Using Text Mining (텍스트 마이닝을 활용한 연구 동향 분석)

  • Shim, Jaekwoun
    • Journal of Creative Information Culture
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    • v.6 no.1
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    • pp.23-30
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    • 2020
  • This study used the text mining method to analyze the research trend of the Journal of Creative Information Culture(JCIC) which is the journal of convergence. The existing research trend analysis method has a limitation in that the researcher's personality is reflected using the traditional content analysis method. In order to complement the limitations of existing research trend analysis, this study used topic modeling. The English abstract of the paper was analyzed from 2015 to 2019 of the JCIC. As a result, the word that appeared most in the JCIC was "education," and eight research topics were drawn. The derived subjects were analyzed by educational subject, educational evaluation, learner's competence, software education and maker culture, information education and computer education, future education, creativity, teaching and learning methods. This study is meaningful in that it analyzes the research trend of the JCIC using text mining.

Consumer responses towards mobile coupon characteristics perception and causal relationships among variables (모바일 쿠폰 특성 지각에 따른 소비자 반응과 변인간 인과관계 연구)

  • Kim, Jae-Hee;Yoh, Eunah
    • The Research Journal of the Costume Culture
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    • v.28 no.1
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    • pp.15-29
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    • 2020
  • Purpose of the study is to explore the effect of the types of mobile coupons(text- vs. image-focused coupons; free-gift vs. discount coupons) on characteristic perception of mobile coupons, and the causal relationships among characteristic perception, attitude, and use intention of mobile coupons. A total of 140 university students participated in experiments with questionnaires including one of the four stimuli. Important findings are as follows. First, image-focused mobile coupons generated more enjoyment than did text-focused coupons. However, the text/image-focused coupons were not different in perception of informativeness and credibility of mobile coupons. Second, enjoyment perception was significantly increased when image-focused contents were combined with discount coupons whereas enjoyment perception was decreased when text-focused contents were combined with free-gift coupons. This interaction effect reflects that the level of enjoyment of consumers can be changed in terms of the combination of the value-provision types of coupons and the text-image focused contents. Third, it was found that consumer perception of coupon characteristics formed attitudes toward mobile coupons, and use intention of mobile coupons was determined by attitudes toward mobile coupons. Study findings may fill the void of research investigating the effect of text-image contents and the types of coupons on consumer reponses toward mobile coupons. Mobile coupons have limited quantity of information within a small size of mobile phone screen, therefore, the results were not consistent with prior research tested with mobile advertisements indicating the effect of text-image contents on perception of informativeness and credibility.