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KMID : 0858820200370030071
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Journal of Korean Society for Health Education and Promotion
2020 Volume.37 No. 3 p.71 ~ p.84
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Analysis for internet health counseling about precocious puberty using text mining and topic modeling
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Park Su-San
Suh Young-Kyoon
Kim Jae-Sung
Kwon Jin-Won
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Abstract
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Objectives: This study aimed to investigate the characteristics of the demand for precocious puberty-related health information using the text data of online health counseling through the techniques of text mining and topic modeling.
Methods: The input data of this study were question and answer documents that were searched for Naver Jisik-iN using the keywords 'precocious puberty'. The documents were automatically collected using a web crawler from January 2017 to June 2019. We performed text pre-processing, after which all nouns were extracted using a morphological analyzer. LDA(Latent Dirichlet Allocation) topic modeling was performed to find hidden themes in the text.
Results: A majority of questions were submitted during the school vacation. Approximately half of all questions were answered by doctors. We used LDA topic modeling to yield three themes regarding precocious puberty-related questions: 1) asking for expert opinion on diagnosis or hospital selection, 2) questions regarding diagnostic tests and treatment, and 3) questions considering obesity and/or diet, as well as timing of puberty onset.
Conclusion: This study identified the major precocious puberty-related concerns. In light of the increasing incidence of precocious puberty, individuals with this condition, as well as parents, should be provided with appropriate education to promote awareness and management.
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KEYWORD
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precocious puberty, text mining, topic modeling, health education
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