Event detection through text analysis using trained event template models

This invention describes a computer system that watches many different data feeds to spot specific events. It works by looking for patterns and keywords that match pre-defined event models, then identifies and clarifies any related people, places, or things. Finally, it cross-references this information with other data to confirm if an event has truly happened, storing the findings.

Why it matters: Filed before the widespread adoption of advanced deep learning and Large Language Models. These technologies now make the creation and application of sophisticated event template models significantly more efficient and accurate than in 2014.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning models

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