eAxis Analytics: Natural Language Processing
Developed Using Amazon AWS Lambda as a Microservice
This Natural Language Processing demo uses a spaCy model to extract named entities and parts
of speech (POS) from entered text. The NLP model is deployed as a serverless app using AWS Lambda.
To run the demo, enter text that includes some of the selected named entities and then click
the Analyze Text button. For example, a simple sentence with named entities is “John purchased
300 shares of Apple stock for $250 per share in June 2019.” Named entities and a POS tree will be
displayed below.
NLP Visualizers
Recognized Named Entities:
Part of speech tags and parse tree:
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