SeafaringIT
TunisiePublication : 9 févr. 2026
Social & Health Monitoring - Sentiment Analysis & Weak Signal Detection
- Stage
- 4-6 mois
- Présentiel
- Échéance : 23 févr. 2026
- NLP/LLMs
- Social Listening
- sentiment analysis
- Topic Modeling
- Data Analytics / Data Engineering
- Analyse de données / Business Intelligence
- Ethics
Description du poste
- Goals:
- Build an automated social listening system for health and social sector conversations
- Detect sentiment trends, emerging issues, and weak signals
- Provide actionable insights for proactive decisions
- Student roles: Data engineers, NLP specialists, data scientists, BI developers, ethics specialists
- Expected outcomes: Social monitoring platform with data collection, sentiment analysis, trend detection, dashboards, and ethical evaluation
- Key features:
- Data collection from public APIs/sources with normalization
- Data anonymization and privacy protection
- Sentiment analysis and topic modeling
- Peak detection and weak-signal identification
- Real-time dashboards with alerts
- Trend analysis and reporting
- Data quality evaluation and bias assessment
- Improvement roadmap, ethical guidelines, limitations
- Technologies: Python, NLP libraries (NLTK, spaCy, transformers), sentiment models, topic modeling (LDA, BERTopic), data collection APIs, anonymization tools, BI tools (Tableau, Power BI), visualization libs