Inspiration

I interest on AI technology. Applying AI model in the business.

What it does

I had created experiment on text classification , text summarization and text recommendation the documents using Azure Machine Learning.

How we built it

First of all ,Text classification use transformer model as bert-base-uncased to classify the categories of documents. Text summarization use transformer model as t5-small to summarize the document. The last was text recommendation use TFIDF technique and similarity to recommend the similarly text. All of the experiment had run on Azure Machine Learning. Then deploy on local service or AciWebservice in Azure Machine Learning.

Challenges we ran into

All of the experiment had run on Azure Machine Learning. So, I have to study the documents of Azure Machine Learning. They are short term of the studying.

Accomplishments that we're proud of

All of text classification, text summarization and text recommendation can work on Azure Machine Learning.

What we learned

The experimental model of text classification, text summarization and text recommendation on Azure Machine Learning.

What's next for ACCENTURE:AI Professor

The system should automatic re-train while updating new category.

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