• Title/Summary/Keyword: Leximancer

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Entrepreneur Speech and User Comments: Focusing on YouTube Contents (기업가 연설문의 주제와 시청자 댓글 간의 관계 분석: 유튜브 콘텐츠를 중심으로)

  • Kim, Sungbum;Lee, Junghwan
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.513-524
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    • 2020
  • Recently, YouTube's growth started drawing attention. YouTube is not only a content-consumption channel but also provides a space for consumers to express their intention. Consumers share their opinions on YouTube through comments. The study focuses on the text of global entrepreneurs' speeches and the comments in response to those speeches on YouTube. A content analysis was conducted for each speech and comment using the text mining software Leximancer. We analyzed the theme of each entrepreneurial speech and derived topics related to the propensity and characteristics of individual entrepreneurs. In the comments, we found the theme of money, work and need to be common regardless of the content of each speech. Talking into account the different lengths of text, we additionally performed a Prominence Index analysis. We derived time, future, better, best, change, life, business, and need as common keywords for speech contents and viewer comments. Users who watched an entrepreneur's speech on YouTube responded equally to the topics of life, time, future, customer needs, and positive change.

An exploratory study on fashion criticism in social media using text mining - Focusing on panel discussion of fashion show in YouTube - (텍스트 마이닝을 이용한 소셜 미디어의 패션 비평에 관한 탐색적 연구 - 유튜브의 패션쇼 Panel discussion을 중심으로 -)

  • Dawool Jung;Se Jin Kim
    • The Research Journal of the Costume Culture
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    • v.32 no.2
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    • pp.215-231
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    • 2024
  • The changing media landscape has diversified how and what is discussed about fashion. This study aims to examine expert discussions about fashion shows on social media from the perspective of fashion criticism. To achieve this goal objectively, a text mining program, Leximancer, was used. In total, 58 videos were collected from the panel discussion section of Showstudio from S/S 21 to S/S 24, and the results of text mining on 24,080 collected texts after refinement are detailed here. First, the researchers examined the frequency of keywords by season. This revealed that in 2021-2022, digital transformation, diversity, and fashion films are now commonly used to promote fashion collections, often replacing traditional catwalk shows. From 2023, sustainability and virtuality appeared more frequently, and fashion brands focused on storytelling to communicate seasonal concepts. In S/S 2024, the rise of luxury brand keywords and an increased focus on consumption has been evident. This suggests that it is influenced by social and cultural phenomena. Second, the overall keywords were analyzed and categorized into five concepts: formal descriptions and explanations of the collection's outfits, sociocultural evaluations of fashion shows and designers, assessments of the commerciality and sustainability of the current fashion industry, interpretations of fashion presentations, and discussions of the role of fashion shows in the future. The significance of this study lies in its identification of the specificity of contemporary fashion criticism and its objective approach to critical research.