• Title/Summary/Keyword: Topic-Association

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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.2 no.4 s.14
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    • pp.41-41
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    • 1977
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.1 no.2 s.2
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    • pp.42-42
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    • 1976
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.2 no.2 s.12
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    • pp.46-46
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    • 1977
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.1 no.7 s.7
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    • pp.37-37
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    • 1976
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.1 no.3 s.3
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    • pp.39-39
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    • 1976
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.2 no.1 s.11
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    • pp.40-40
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    • 1977
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.1 no.4 s.4
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    • pp.38-38
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    • 1976
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해외 Topic

  • 한국발명진흥회
    • 발명특허
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    • v.1 no.8 s.8
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    • pp.46-46
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    • 1976
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The method to Apply User Preference for On-line Shopping Mall: A Topic Map approach (온라인 쇼핑몰에서 사용자 선호도 적용 방법: 토픽맵 적용)

  • Jeong, Hwa-Young;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.15 no.5
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    • pp.925-930
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    • 2011
  • In this paper, we propose a method to apply the purchase preference of a user in on-line shopping mall. To analyze the preference, we use topic preference vector. The topic is purchase count of products. In this structure, we construct the association the four factors; Purchase Hit meaning the purchase count of product, Count meaning the purchase count by other users in interesting product, Preference meaning product preference, and product meaning information of the product. By this structure and the method, we could show that proposed method displayed the product applying user preference, effectively.

Analysis of Laughter Therapy Trend Using Text Network Analysis and Topic Modeling

  • LEE, Do-Young
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.4
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    • pp.33-37
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    • 2022
  • Purpose: This study aims to understand the trend and central concept of domestic researches on laughter therapy. For the analysis, this study used total 72 theses verified by inputting the keyword 'laughter therapy' from 2007 to 2021. Research design, data and methodology: This study performed the development and analysis of keyword co-occurrence network, analyzed the types of researches through topic modeling, and verified the visualized word cloud and sociogram. The keyword data that was cleaned through preprocessing, was analyzed in the method of centrality analysis and topic modeling through the 1-mode matrix conversion process by using the NetMiner (version 4.4) Program. Results: The keywords that most appeared for last 14 years were laughter therapy, depression, the elderly, and stress. The five topics analyzed in thesis data from 2007 to 2021 were therapy, cognitive behavior, quality of life, stress, and the elderly. Conclusions: This study understood the flow and trend of research topics of domestic laughter therapy for last 14 years, and there should be continuous researches on laughter therapy, which reflects the flow of time in the future.