Implementing Azure Cognitive Services for Language

Video: .MP4, AVC, 1920×1080, 30 fps | Audio: English, AAC, 48 KHz, 2 Ch | Duration: 2h 27m | 433 MB

Instructor: James Millar

Gain foundational knowledge of the text analytics API to understand the Microsoft Cognitive Services suite

Key Features
Enhance your applications with web-scale machine learning and learn to check spelling and grammar
Enhance and provide a better service to your customer base using Azure Cognitive Services for language
Build an application and add natural language processing to your applications

What You Will Learn
Identify language, intent, entities, and key phrases in the text to process the user’s input and perform sentiment analysis
Detect language and translate text across more than 60 languages to provide real-time translation in your application
Identify profane content in text, images, and videos to fix common textual mistakes automatically
Use machine learning to check spelling and grammar while dealing with slang words and common expressions
Create an application that can respond to natural language instructions
Create a LUIS application in the LUIS portal and deploy it with the prediction endpoint
Create an application that can respond to natural language instructions

About
Microsoft Cognitive Services APIs allow developers to leverage the power of artificial intelligence to create apps that can more effectively understand and interpret the needs of users. Even the simplest of business applications can have a global reach, requiring developers to consider the culture and languages across regions.

This course focuses on how to implement Cognitive Services in your business or organization for day-to-day operations based on language-related services. In this course, you’ll learn how to understand, configure, utilize, and work with text analysis, translator text, content moderation, Bing spell check and the Language Understanding Intelligence Service (LUIS). You’ll learn the type of data that these APIs analyze, what scenarios they are best suited for, and how to leverage them in your code. You will be able to detect language, key phrases, entities, and sentiment and translate between languages in real-time. You’ll delve into the exciting Language Understanding Intelligence Service (LUIS), which allows apps to accept a user’s input in natural language.

By the end of this course, you’ll gain foundational knowledge of the text analytics API that will help you take your overall understanding of the Microsoft Cognitive Services suite to the next level.

The code bundle for this course is available at github.com/PacktPublishing/Implementing-Azure-Cognitive-Services-for-Language

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