Fifth session: Creating a Knowledge Graph with Neo4j: A Simple Machine Learning Approach

Description
This talk will start with unstructured text and end with a knowledge graph in Neo4j using standard Python packages for Natural Language Processing. From there, we will explore what can be done with that knowledge graph using the tools available with the Graph Data Science Library.

To prepare your environment for this session:

1. Clone this Github repo:
http://dev.neo4j.com/nodes2021_kg_workshop

2. Follow instructions in repo README for setting up your environment.

Clair Sullivan
Developer Relations, Neo4j


Markus Kubicek
Daimler


Philipp Zacharias
Daimler


Stefan Kolmar
VP Field Engineering EMEA & APAC, Neo4j


Bruno Ungermann
Country Manager Deutschland, Neo4j

 

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