| language: en | |
| tags: [text-classification, emotion-detection, mental-health, hci, distilbert, cnn] | |
| datasets: [go_emotions] | |
| metrics: [f1, accuracy] | |
| # MoodShift — Hybrid DistilBERT + CNN Emotion Classifier | |
| Novel hybrid architecture for HCI research (ICCA 2026). | |
| ## Architecture | |
| - **DistilBERT** → [CLS] global context (768-dim) | |
| - **CNN (kernels 2,3,4)** → local n-gram emotion patterns (384-dim) | |
| - **Fusion** → 1152-dim → Linear(512) → Linear(7) | |
| ## Labels | |
| positive | sadness | anger | anxiety | confusion | curiosity | neutral | |
| Best Val F1: **0.9141** | |