Use Case: Event Identification & Extraction

Modified on Thu, 31 Jul at 2:48 PM

Identifying and extracting events from documents

This video demonstrates how to use Noticia Go AI Review for identifying and extracting events from documents. The example uses a dataset related to Hillary Clinton's campaign and provides a generic prompt to capture key event details, including what occurred, who was involved, and relevant commentary. The process also covers filtering for events of factual or material significance and saving results to a pre-configured database for further analysis.



How Noticia Go helps with event identification

Noticia Go applies AI to extract concise summaries of significant events from documents, including involved parties and relevant commentary. This enables efficient tracking and reporting of material occurrences without manual review of all text. The tool supports output formatting consistent with organizational databases or review workflows.


Sample event identification prompt


Summarize the event(s) mentioned or described in this email in one sentence. State what happened and who was involved, including anyone who commented on the event. Be concise, neutral, and use past tense. Format: '[Date]: [What happened], with [who commented or reacted].' Only include events or commentary with factual or material significance.

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