Recently (in May 2019) I had the honor of attending and speaking at the Dataworks Summit in ...
We serve the intersection of big-data, cloud, and natural language processing.
Philter
The presence of protected health information (PHI) can be a difficult problem to solve in many areas of healthcare. Philter removes or anonymizes PHI from natural language text.
NLP Flow
Create powerful natural language processing pipelines to ingest and process text without writing any code. Free to use.
Recent Blog Posts
A statistical language model is a probability distribution over sequences of words. (source)...
Entity Extraction from Natural Language Text in a Data Flow Pipeline
This brief slide show i...
NLP Flow (in version 1.3.0) now supports AllegroGraph as an entity store. Supporting Allegro...
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