European News Intelligence Hub

เจ้าของผลงานเล่าไว้แบบนี้

Tracking European media sentiment (2025) about international relationship (Pilot : Thailand) and other topics. Production-grade platform featured AI-powered sentiment analysis, semantic search, interactive mind maps, and multilingual EN/DE/TH support. Built with React, FastAPI, PostgreSQL (pgvector), and Google Gemini. cross-border, data-visualization, embeddings, fastapi, gemini-api, keyword-extraction, media-monitoring, mind-mapping, news-aggregation, nlp, react, semantic-search, sentiment-analysis, vector-search, web-scraping https://thalay.eu/ # 🌍 European News Intelligence Hub ### Track how European media covers global events using AI-powered sentiment analysis [](https://python.org) [](https://fastapi.tiangolo.com) [](https://reactjs.org) [](https://typescriptlang.org) [](https://postgresql.org) [](https://docker.com) [](LICENSE) <img width="945" height="433" alt="image" src="https://github.com/user-attachments/assets/4f77c446-f93d-4b9a-8eb6-2afca6074ed2" /> --- ## The Story > *"What does Europe really think about Thailand's tourism recovery?"* I built this tool when I realized there was no easy way to track how European media sentiment shifts over time for specific topics. Traditional news aggregators just show articles—they don't reveal the **underlying narrative tone** or **how opinions evolve**. **The breakthrough**: Combining fast baseline sentiment analysis (VADER) with AI-powered nuanced opinion detection (Google Gemini) creates a multi-layered understanding. Add semantic search with vector embeddings, and you get intelligence that goes beyond keyword

โดย bejranonda · ดูโพสต์ต้นทาง