ArticleCurrent psychology (New Brunswick, N.J.)2022
The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model.
Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 11 citations in OpenAlex.
- Examining streetscape visuals and emotional responses through social media and street view image analysis.International journal of health geographics · 2025Article
- Psychological Positive Energy in Medical Students: Framework, Influencing Factors and Mental Health Implications.Psychology research and behavior management · 2025Article
- Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis.Journal of medical Internet research · 2023Article
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5 authors at 2 institutions in 1 country.
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Abstract
The outbreak of COVID-19 has led to a global health crisis and caused huge emotional swings. However, the positive emotional expressions, like self-confidence, optimism, and praise, that appear in Chinese social networks are rarely explored by researchers. This study aims to analyze the characteristics of netizens' positive energy expressions and the impact of node events on public emotional expression during the COVID-19 pandemic. First, a total of 6,525,249 Chinese texts posted by Sina Weibo users were randomly selected through textual data cleaning and word segmentation for corpus construction. A fine-grained sentiment lexicon that contained
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