Learn about the recently launched Opinion Mining and Async offerings of Text Analytics.

From the video description:

In the first half, we will discuss how Opinion Mining (an extension of Sentiment Analysis) helps explore customers’ perception of aspects/opinions, such as specific attributes of products or services, in text. In the second half, we will learn about the new Async capabilities of Text Analytics, which will allow bundling various skills of Text Analytics and also allows large amount of text of up to 125K characters to be sent to Text Analytics via /analyze endpoint.

Text Analytics for health is a preview feature of Text Analytics which enables developers to process and extract insights from unstructured clinical and biomedical text.

Through a single API call, using NLP techniques such as named entity recognition, entity linking, relation extraction and entity negation, Text Analytics can extract critical and relevant medical information without the need for time-intensive, manual development of custom models.

Dictation in productivity apps such as Word empower people to conquer the blank page.

Dictating is a fast and easy way to get your thoughts on the page during brainstorming, outlining, and authoring content. Office voice commanding is the next step to make dictation more powerful.

Using AI powered by Microsoft Cognitive Services, Microsoft 365 users save time and effort with transcription and voice commanding. Office voice commanding is powered by Microsoft Cognitive services, including Cognitive Speech Studio and Language Understanding Cognitive Service.

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This episode of the AI show covers reinforcement learning – an AI approach that is especially promising for training naturally behaving game characters with nuanced reactions to human players.

Jump To:

[00:50] What is reinforcement learning
[02:26] Project Malmo – Minecraft as a platform for AI research
[05:00] Project Paidia: towards RL agents that learn to collaborate with human players
[09:00] Project Paidia demo
[11:00] Call to action -AI Innovation page (Project Paidia) + Azure ML notebooks

Learn More:

  • Project Paidia deep dive page https://aka.ms/AIShow/ProjectPaidia
  • Azure notebooks – try this today https://aka.ms/AIShow/AzureNotebooks
  • Game Intelligence research https://aka.ms/AIShow/GameIntelligence
  • Follow Seth https://twitter.com/katjahofmann

In this video, you will see what Automated Machine Learning is and how you can use it to solve machine learning problems. We also go through a demo to solve a banking problem starting from a dataset to deploying models to production, all without a single line of code.

Join Seth Juarez as he delves into ethical concerns with AI with Josh Lovejoy, who leads Design for Microsoft Ethics & Society within Cloud + AI, and Sarah Bird, who leads Responsible AI for Cognitive Services.

This video explores how to think about Ethical AI and how to ensure the software you build is designed, developed and deployed ethically. Josh and Sarah describe how Ethics & Society works closely with product teams to make human-centered AI / ML technologies that serve people by appreciating the constraints and measuring accuracy and inaccuracy throughout the product development lifecycle.

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