Project Fortis is a data ingestion, analysis and visualization pipeline. The Fortis pipeline collects social media conversations and postings from the public web and darknet data sources.
Fortis is a flexible project and can be configured for many situations, e.g.:
- Ingesting from multiple data sources, including:
- Public Web (via Bing)
- RSS
- Radio Broadcasts
- ACLED
- Fortis also comes with pre-configured terms to monitor sites of these types:
- Humanitarian
- Climate Change
- Health
- Runtime Configuration of Spark Streaming Jobs
- Spark Streaming Transformations: A Deep-dive
- Permissively-Licensed Named Entity Recognition on the JVM
- Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription
- Geocoding Social Conversations with NLP and JavaScript
- Accelerating UN Humanitarian Aid Planning with GraphQL
- Dashboard walkthrough (in Spanish)
- KubeCon conference talk
- Microsoft Build conference talk
- Spark Summit conference talk
We published several generally useful open source projects as part of the development of Fortis, including: