• Title/Summary/Keyword: Daangn Market

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Analysis of Text Mining of Consumer's Personality Implication Words in Review of Used Transaction Application (중고거래 어플리케이션 <당근마켓> 리뷰텍스트에 나타난 소비자의 인성 함축단어 텍스트마이닝 분석)

  • Jung, Yea-Rin;Ju, Young-Ae
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.1-10
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    • 2021
  • This study analyzes the use and meaning of consumer personality implication words in the review text of the Used Transaction Application . From of May 2021, the data were collected for the past six months by our Web crawler in Seoul and Gyeonggi Province, and a total of 1368 cases were collected first by random sampling, and finally 570 cases were preprocessed. The results are as follows. First, 48.2% of review texts were related to the personality of consumers even though it was a commercial platform of products. Second, the review text is mainly positive, which formed a text network structure based on the keyword 'gratitude'. Third, the review text, which implies consumer character, was divided into two groups: 'extrovert personality' and 'introvert personality' of consumers. And the individuality of the two groups worked together on the platform. In conclusion, we would like to suggest that consumer personality plays an important role in the platform transaction process, that consumer personality will play a role in the services of the platform in the future, and that consumer personality should be studied from various perspectives.