User portrait construction of Weibo comments on public health emergencies based on sentiment analysis

Corresponding author: Pan wei, panweibbmc@163.com

DOI: 10.12201/bmr.202303.00003

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  Abstract: Purpose/Significance To provide decision support for accurate monitoring and classification guidance of network public opinion of public health emergencies. Method/ProcessThe web crawler technology was used to obtain the comment data and the characteristic data of comment users on Weibo related to public health emergencies, and the sentiment analysis was carried out to calculate the emotional tendency of the review data. Correlation analysis was used for calculated emotional degree of emotional inclination and user characteristics. Result/Conclusion User comments emotional tendency and six user characteristics related to user comments emotional tendency such as gender, age, number of fans, number of likes, introduction and label were used as content to construct user portraits of Weibo comments public health emergencies.

  Key words: network public opinion; sentiment analysis; user portrait; public health emergencies

  Submit time: 17 March 2023

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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