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  • 21 October 2016
Cloud Platforms

Unstructured Text With Python, MS Cognitive Services & PowerBI

Agenda

Making Sense of Unstructured Text Using Python

In this tutorial, Craig Guarraci speaks about how to Make Sense of Unstructured Text With Python, MS Cognitive Services, and PowerBI. We’ll also take a broad look at industry research to see how text analytics and sentiment analysis are used.

What you’ll learn

  • To look at difficulties associated with sentiment analysis
  • Review Python code examples to call the Microsoft Cognitive Service key phrase and sentiment APIs
  • Use Power BI to explore text results (beyond just a tag cloud)
user
Craig Gurraci

Data Scientist

Customer-focused Senior Technical Program\Product Manager with over a decade of experience delivering high-quality, complex projects for internal users and external customers. Keeps the big picture in focus and sees the right details. Have successfully led geographically dispersed teams to reach common goal.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!

Become a presenter

Resources

Refer to Avid Machine Learning blog for the code.
Slides on Unstructured Text With Python, MS Cognitive Services & PowerBI can be found here.

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