Creating a Clinical Knowledge Graph with Spark NLP and Neo4j - Webinar

The knowledge graph represents a collection of connected entities and their relations. A knowledge graph that is fueled by machine learning utilizes natural language processing to construct a comprehensive and semantic view of the entities. A complete knowledge graph allows answering and search systems to retrieve answers to given queries. In this study, we built a knowledge graph using Spark NLP models and Neo4j. The marriage of Spark NLP and Neo4j is very promising for creating clinical knowledge graphs to do a deeper analysis, Q&A tasks, and get insights.

[@vishalchandra1450]

Great work,Thanks it helped me a lot..

[@LiMingyang-p5c]

It's a nice tutorial. I have a question: how could I generate the free license? Thank you

[@inFamous16]

Hi Sir... I want to calculate PageRank on built KG, Is it possible to do so? I know how to calculate it on GraphDB but not on Neo4j

[@vatsaldin]

obviously there are functions in neo4j