EIEIOTECHNOVATION
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EIEIO / ARTIFICIAL INTELLIGENCE

Build a natural language processing solution with Azure AI Services

Course outline

AI-30031 day

Duration

1 day

Overview

Azure AI Document Intelligence uses Azure AI Services to analyze the content of scanned forms and convert them into

Every day, the world generates a vast quantity of data; much of it text-based in the form of emails, social media posts, online reviews, business documents, and more. Artificial intelligence techniques that apply statistical and semantic models enable you to create applications that extract meaning and insights from this text-based data.

The Azure AI Language provides an API for common text analysis techniques that you can easily integrate into your own application code.

In this module, you will learn how to use Azure AI Language to:

  • Detect language from text.
  • Analyze text sentiment.
  • Extract key phrases, entities, and linked entities.

Outline

  • Provision an Azure AI Language resource
  • Language detection - determining the language in which text is written.
  • Key phrase extraction - identifying important words and phrases in the text that indicate the main points.
  • Sentiment analysis - quantifying how positive or negative the text is.
  • Named entity recognition - detecting references to entities, including people, locations, time periods, organizations, and more.
  • Entity linking - identifying specific entities by providing reference links to Wikipedia articles.
  • Azure resources for text analysis
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Evaluating a movie, book, or product by quantifying sentiment based on reviews.
  • Prioritizing customer service responses to correspondence received through email or social media messaging.
  • Extract entities
  • Extract linked entities
  • Lab Exercise - Analyze text

Summary

In this module, you learned how to use Azure AI Language to:

  • Detect language from text.
  • Analyze text sentiment.
  • Extract key phrases, entities, and linked entities.

To learn more about Azure AI Language and some of the concepts covered in this module, you can explore the following:

  • Azure AI Language documentation
  • Build a conversational language understanding model
  • Create a custom named entity extraction solution

Programme scope, delivery arrangements and suitability are confirmed during enquiry.