A sentiment analysis and topic modeling of weibo discourse on public perceptions of breast cancer
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By
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Yu Deng
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Jianan Li
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Juanjuan Chen
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July 6, 2026
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Clinical Scorecard: Analyzing Public Sentiments and Topics in Weibo Discussions Regarding Breast Cancer Perceptions
At a Glance
| Category | Detail |
|---|
| Condition | Breast Cancer |
| Key Mechanisms | Social media discourse analysis, sentiment analysis, topic modeling |
| Target Population | Women globally, with a focus on Chinese social media users |
| Care Setting | Digital communication and public discourse |
Key Highlights
- Breast cancer is the most commonly diagnosed malignancy among women, accounting for 25% of female cancers.
- Social media serves as a significant information source for breast cancer discussions.
- Emotional tone and discussion topics vary according to the poster's relationship to the patient.
- Chinese social media, particularly Weibo, provides rich data for analyzing societal perceptions of breast cancer.
- Text mining methods like topic modeling and sentiment analysis are effective for examining public attitudes.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Breast cancer patients and their families discussing experiences on Weibo
Discourse reflects emotional responses and treatment-related discussions among users.
Clinical Best Practices
- Utilize sentiment analysis and topic modeling to understand public perceptions of breast cancer.
- Engage with social media platforms to gather real-world insights on patient experiences.
Related Resources & Content
