The AI Show: Ep 54 | Building NLP models with Azure ML AutoML

Wenxin Wei and Lifeng Wei are here to run through an E2E demo of building NLP models with Azure ML AutoML. They'll go into detail about Text Classification, Multi-class and Multi-label and Text Named Entity Recognition (NER) and how it now supports 104 languages! aka.ms/automl-nlp
Jump to:
00:00 Welcome to the AI Show
01:00 What is AutoML NLP
03:19 Multi-lingual support
04:28 E2E user-experience
13:00 Learn more
Recommended resources:
AutoML NLP aka.ms/automl-nlp
Multi-class examples aka.ms//AutoML/Multiclass
Multi-label examples aka.ms/AutoML/Multilabel
Naming Entity Recognition examples aka.ms/AutoML/NER
Create a Free account (Azure) aka.ms/aishow-seth-azurefree
Connect with Seth / sethjuarez
Don't miss new episodes, subscribe to the AI Show aka.ms/AIShowsubscribe
AI Show Playlist aka.ms/AIShowPlaylist
Join us every other Friday, for an AI Show livestream on Learn TV and RUclips aka.ms/LearnTV - aka.ms/AIShowLive

[@jatinnandwani6678]

Amazing

[@lumenartstore]

Wow! Sweet

[@lumenartstore]

Do you have any advice on how to integrate and take advantage of publicly available ontologies like the Getty Vocabulary Program ontology or the PubChemRDF project? I have not been able to find a low code solution that allows me to easily take advantage of the relationships found in RDF-formatted data. My goal is to enrich product data.

[@mikinyaa]

Cool stuff but does autoML offer restapi instead of limiting to python sdk