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MachineIntelligence-TextAnalytics-TPLDataFlows

Machine Intelligence Text Analytics Enrichment Actor Model, implemented using Task Parallel Library Data Flow Pipelines.

Features:

  • The console uses book text from the Project Gutenberg site from various authors: Oscar Wilde, Bram Stoker, Edgar Allen Poe and performs enrichment using multiple steps
  • Rather than processing text analytics enrichment in single synchronous steps, it uses an actor model to create efficient pipelines
  • Demonstrates how to create a Machine Intelligence & Text Analytics Pipeline using TPL DataFlows
  • Can saturate multiple cores of a workstation or server for efficient workflow processing
  • The console application is cross-platform; it will run on macOS (screenshot below & Windows)

Requirements:

  • Visual Studio 2019, .NET 5.x
  • NuGet Packages Used: ML.NET v1.5.4, Newtonsoft.Json, System.Threading.Tasks.Dataflow

Training Job

More Information: