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Enso Associates Announces Machine Learning Framework
Enso's Framework Based on State of the Art Open Source Tools
Enso's framework is designed based upon a plug and play architecture of state of the art open source software. The framework is enhanced by Enso Associates' expertise and addition of processes to enhance accuracy.
The Enso Associates framework includes the following components:
· Apache NiFi – Originally developed by the National Security Agency, this Apache Foundation project is the Swiss Army Knife of data manipulation. NiFi provides data processing workflows, but also acts as a messaging framework, as well as an extract, transform and load (ETL) platform. The application includes built-in processors for many tasks, while allowing the development of custom processors. NiFi dramatically lowers the amount of time and cost needed to extract value from your organization's data.
· TensorFlow – Google's open source machine learning software that powers Gmail, and Google products which need image and speech recognition.
· Syntactic Processing – While humans perform word sense disambiguation by context, modern machine learning approaches need syntactic processing, similar to the sentence diagramming taught in grade school. Enso's syntactic processing architecture uses spaCy, along with TensorFlow's SyntaxNet capabilities, and the venerable WordNet Lexical Database to provide the most accurate syntactic processing in the industry.
· FrameNet – The addition of FrameNet allows for automatic semantic role labeling. Google also used FrameNet for products needing semantics. The Enso Framework gets to the meaning of your unstructured text.
"With our framework, any organization has a leg up on their competition"
To read more about the Enso Associates framework, please review our technical overview at http://www.enso.associates/
Enso Associates (http://www.enso.associates/