Discover how graphs are a perfect solution to organize information and to determine the relatedness of content. In this webinar, Neo4j Developer Evangelist Kenny Bastani will discuss using Neo4j to perform document classification. He will demonstrate how to build a scalable architecture for classifying natural language text using a graph-based algorithm called Hierarchical Pattern Recognition. This approach encompasses a set of techniques familiar to Deep Learning practitioners. Kenny will then introduce a new Neo4j unmanaged extension that can train natural language models on Wikipedia articles to determine which articles are most related based on a vector of shared features.
Hear more from Kenny here: https://development.neo4j.dev/blog/contributor/kenny-bastani/
#DeepLearning #GraphDatabase #Documentation