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The construction of fine-grained text sentiment classification model for breast cancer patients based on emotional lexicon and deep learning

The construction of fine-grained text sentiment classification model for breast cancer patients based on emotional lexicon and deep learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092433
Enrollment
Unknown
Registered
2024-11-15
Start date
2023-12-30
Completion date
Unknown
Last updated
2024-11-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast cancer

Interventions

training group:No intervention
test group:No intervention

Sponsors

Nanfang Hospital, Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All posts made by breast cancer patients themselves within social networking platforms

Exclusion criteria

Exclusion criteria: 1. Posts whose contents have permissions or cannot be accessed; 2. Duplicate posts

Design outcomes

Primary

MeasureTime frame
emotion value;

Countries

China

Contacts

Public ContactYanni Wu

Nanfang Hospital, Southern Medical University

yanniwuSMU@126.com+86 188 1886 0076

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026