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Neo4j Live: ICIJ Datashare – Turning Documents into Knowledge
Have you ever wondered how journalists extracted valuable information from the millions of documents of the Panama Papers or Pandora Papers ?
Clément, ML Engineer at the International Consortium of Investigative Journalists (ICIJ), will explain how Neo4j and Datashare (ICIJ’s search engine) helped solve this challenge in this session.
You will learn how Datashare’s new Neo4j plugin allows journalists to turn investigation documents into knowledge graphs connecting the dots between people and corporate entities. You will then discover how to use Neo4j to surface valuable insights from such graphs: reveal complex links between entities, identify central actors, analyze exchanges, identify similar entities…
Clément, ML Engineer at the International Consortium of Investigative Journalists (ICIJ), will explain how Neo4j and Datashare (ICIJ’s search engine) helped solve this challenge in this session.
You will learn how Datashare’s new Neo4j plugin allows journalists to turn investigation documents into knowledge graphs connecting the dots between people and corporate entities. You will then discover how to use Neo4j to surface valuable insights from such graphs: reveal complex links between entities, identify central actors, analyze exchanges, identify similar entities…