How Recorded Future Works
Collect Public Web Content
We continually scan tens of thousands of high-quality news publications, blogs, public niche sources, trade publications, government web sites, financial databases and more.
Analyze the Text
From these open web sites, we identify references to entities and events. We detect time periods, when the events are predicted or reported to occur. Each reference links back to original source and is scored with analytics including positive and negative sentiment.
Visualize Insights
You can explore the past, present and predicted future of almost anything in a matter of seconds. Our analysis tools facilitate investigation of temporal patterns and better understanding of complex relationships.
Going Deeper: The Advantage of Time
Recorded Future has a special focus on producing insights from human reporting on the web. Our Temporal Analytics™ Engine analyzes human-authored text at a massive scale.
- First, we detect references to entities like people, groups and locations.
- We extract more meaning by detecting the events - what these people and groups are doing and where it's happening.
- Critically, we place these events in time: historical, today's news, and anticipated future events.
The following quotations from the web show how author refers to the same event with different language - in this case, the May 2013 elections in Pakistan. Our Temporal Analytics™ Engine empowers analysts by revealing these hidden links in meaning across time, sources and languages.
No comments:
Post a Comment