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Data Analysis and Visualization of Newspaper Articles on Thirdhand Smoke: A Topic Modeling Approach.

Qian LiuQiuyi ChenJia-Yi ShenHuailiang WuYimeng SunWai-Kit Ming
Published in: JMIR medical informatics (2019)
Data analysis and the visualization of news articles can generate useful information. Our study shows that topic modeling can offer insights into understanding news reports related to THS. This analysis of media trends indicated that related diseases, air and particulate matter (PM2.5), and control and restrictions are the major concerns of the Chinese media reporting on THS. The Chinese press still needs to consider fuller reports on THS based on scientific evidence and with less focus on sensational headlines. We recommend that additional studies be conducted related to sentiment analysis of news data to verify and measure the influence of THS-related topics.
Keyphrases
  • data analysis
  • particulate matter
  • air pollution
  • adverse drug
  • healthcare
  • machine learning
  • risk assessment
  • big data
  • social media
  • health information