Overview
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Get started with Microsoft Cognitive Services for language. Discover how to work with the Bing Spell Check API, the Text Analytics API, Language Understanding (LUIS), and more.
Syllabus
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Introduction
- Welcome
- What you should know
- Using the exercise files
- Introduction
- Set up a Node.js project
- Add TypeScript debugging support
- Add helper code and debugging
- Set up your Node.js project
- Register Text Analytics API in Azure
- Detect language using text analytics
- Detect key phrases
- Detect sentiment
- Register in Azure and set up the Node.js project
- Bing spell check using GET requests
- Bing spell check using POST requests
- Set up the project
- Set up the Translator Text API in Azure and update the project
- Write code for getting supported languages
- Get supported languages running and refactor the code
- Get supported languages using an access token
- Get supported languages using access token
- Get language names
- Write code for translating between languages
- Translations between multiple languages
- Breaking apart longer sentences
- Translate lots of content using TranslateArray
- Get languages for Speak
- Performing text-to-speech
- LUIS basics
- Create a new LUIS app
- Add keys from Azure into LUIS applications
- Adding a prebuilt model, train, and publish the app
- Test the application in the LUIS portal
- Call the LUIS app from code
- Delete the LUIS app
- Set up the project with the correct keys and configuration
- Define the application domain
- Creating business objects
- Write code for parsing the model
- Create the structure of the main program
- Write code to create a LUIS app
- Write code to add intents into the application
- Write code to add entities in the application
- Write code to add utterances
- Run the application and get the model created and running
- AI in action with fuzzy commands
- Next steps
