Weibo Users' Emotion and Sentiment Orientation in Traditional Chinese Medicine (TCM) During the COVID-19 Pandemic.
Disaster Med Public Health Prep
; 16(5): 1835-1838, 2022 10.
Article
in English
| MEDLINE | ID: covidwho-1347898
ABSTRACT
OBJECTIVE:
This study aimed to explore Chinese people's attitudes to the official application of TCM in coronavirus disease 2019 (COVID-19) treatment.METHODS:
We collected data referring to TCM on Weibo from 000 on January 24, 2020, to 235959 on March 31, 2020 (Beijing time). In addition, this study used DLUT-Emotion ontology to analyze the sentiment orientation and emotions of selected data and then conducted a text analysis.RESULTS:
According to DLUT-Emotion ontology, we examined 3 sentiment orientations of 215,565 valid Weibo posts. Among them, 25,025 posts were judged as positive emotions, accounting for approximately 12%; 22,362 were regarded as negative emotions, accounting for approximately 10%; and 168,178 were judged as neutral emotions, accounting for approximately 78%. Results indicate that the words judged as "Good" have the highest frequency, and words marked as "Happy" have increased over time. The word frequency of "Fear" and "Sadness" showed a significant downward trend.CONCLUSION:
Weibo users have a relatively positive attitude to the TCM in the COVID-19 treatment in general. Results of text analysis show that data with negative emotions is essentially an expression of public opinions to supporting TCM or not. Texts of "Fear" and "Sadness" do not reflect users' negative attitudes to TCM.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Social Media
/
COVID-19
Type of study:
Observational study
Topics:
Traditional medicine
Limits:
Humans
Language:
English
Journal:
Disaster Med Public Health Prep
Journal subject:
Public Health
Year:
2022
Document Type:
Article
Affiliation country:
Dmp.2021.259
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