Public opinion software was used to collect data in the context of internet big data, aiming to analyze the situation of resident standardized training. The results indicated that over 820 thousand public opinion items regarding resident standardized training were collected and the greatest attention paid to this issue came from medical college students. 51% (418 200/820 000)of the public opinion items were neutral, 32% (262 400/820 000)of the items was negative, and 17%(139 400/820 000)was positive. Specifically, 39% (102 336/262 400)of the media focused on the policy of resident standardized training, 27% (70 848/262 400)on the training period, and 26% (68 224/262 400)on the training income. Both the media and cyber citizen paid close attention to resident standardized training, but their attitudes towards it were polarized. Government should create public opinion research and judge mechanism, information dissemination mechanism and public opinion guidance mechanism to orient internet public opinion tracking in a scientific and objective way.
Yuan Yanfei
,
Yan Dingkun
,
Zhang Ronghui
,
Xia Hongwei
,
Yang Jian
,
Guo Haoyan
. Public opinion analysis on resident standardized training based on Internet big data[J]. Chinese Journal of Medical Education, 2019
, 39(4)
: 293
-296
.
DOI: 10.3760/cma.j.issn.1673-677X.2019.04.013
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