Sentiment Dashboard
by Community · open-source · Last verified 2026-03-17
Ingests social media feeds, reviews, and support tickets in near-real-time, scores sentiment at entity and aspect level using a fine-tuned RoBERTa model, and renders a live Streamlit dashboard with trend charts, topic clustering, and configurable alert thresholds for brand-crisis detection.
https://github.com/cardiffnlp/twitter-roberta-base-sentiment ↗C+
C+—Average
Adoption: B+Quality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- aspect-sentiment, real-time-ingestion, topic-clustering, alert-thresholds
- Integrations
- transformers, streamlit, kafka, postgresql, plotly
- Use Cases
- brand-monitoring, product-review-analysis, customer-voice-programs
- API Available
- No
- Language
- python
- Dependencies
- transformers, streamlit, kafka-python, psycopg2, plotly, scikit-learn
- Environment
- Python 3.10+
- Est. Runtime
- Real-time; latency <500ms per document
- Tags
- sentiment-analysis, dashboard, brand-monitoring, nlp, streamlit
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
58Adoption
70
Quality
81
Freshness
83
Citations
55
Engagement
0