Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Lexical and Phrasal Analysis of Online Discourse of Type 2 Diabetes Patients based on Text-Mining

텍스트마이닝 기법을 이용한 제 2형 당뇨환자 온라인 담론의 어휘 및 구문구조 분석

  • Hwang, Moonl-Hyon (Dept. of Applied Physiology and Kinesiology, University of Florida) ;
  • Park, Jungsik (Dept. of English Language and Literature, Ajou University)
  • 황문현 (플로리다대학교 응용생리학 및 운동과학과) ;
  • 박정식 (아주대학교 인문대학 영어영문학과)
  • Received : 2014.04.16
  • Accepted : 2014.06.20
  • Published : 2014.06.28

Abstract

This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.

Keywords

Type 2 Diabetes;Psychological Condition;Text-Mining;Lexical and Phrasal Analysis;Online Discourse

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