The Microsoft Cognitive Services Content Moderator is a state-of-the-art service and set of APIs provided by Microsoft through Azure that enables developers to analyze content embedded in text and images in a very simple way and with little code.
Have you ever wanted to enhance your ability to detect potentially offensive or undesirable text and images and confidently be able to moderate them in an easy way?
Have you ever spent hours classifying content and checking for possible personally identifiable information, offensive and unwanted content that could pose a risk to your organization?
This course, Microsoft Azure Cognitive Services: Content Moderator, teaches you everything you need to know in order to track, flag, assess, filter out, and moderate offensive and unwanted content that creates a risk for your organization.
First, you will get familiar with the Content Moderator set of APIs, showing you how it is possible to analyze text, analyze images, and extract text from images (using Optical Character Recognition). Next, you will learn to easily track, flag, assess, and remove undesirable, offensive, and unwanted content in a smart and practical way.
Microsoft has made this possible by offering the Content Moderator set of APIs as part of its Cognitive Services Suite.
Finally, you will learn how to access this set of APIs, the type of data they are meant to analyze, the use-cases each is best suited for, and utilize its full potential in real-world scenarios.
By the end of this course, you will have gained a fundamental know-how of these APIs that will change your
way of moderating text and images forever.
Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation.
Course Overview Hi everyone. My name is Eduardo Freitas, and welcome to my course, Microsoft Cognitive Services: Content Moderator. I'm a software developer and a data capture specialist. Content moderation is at the forefront of artificial intelligence and one of the coolest and most useful set of APIs within Microsoft Cognitive Services. Have you ever wanted to enhance your ability to detect potentially offensive or undesirable text and images and confidently being able to moderate them in an easy way? And how many hours have you spent classifying content that could pose a risk to your organization? With a content moderator set of APIs, it is possible to analyze text, analyze images, extract tags from images using optical character recognition. In order to easily track, flag, assess, and remove undesirable, offensive, and unwanted content in a smart, but yet practical way, Microsoft has made this possible by offering the Content Moderator set of APIs as part of this cognitive services suite. Some of the major topics that we will cover include core aspects of Content Moderator APIs, working with the image, text, and video moderation APIs, image, text, video screening, and detecting faces and images, jobs, reviews, and the Review Tool, and finally, watching these technologies and principles getting applied. By the end of this course, you will know how the Content Moderator APIs work and be able to write code that uses it. Before beginning the course, you should have some basic knowledge of C#, Azure, and API endpoints, as well as being able to find your way around Visual Studio. I hope you join me on this journey to learn the ins and outs of the content moderator course, at Pluralsight.
Understanding the Core Aspects of Content Moderator APIs Hi. My name is Eduardo, and welcome to my course, Microsoft Cognitive Services: Content Moderator. I am a data capture specialist and a big fan of cloud-based AI APIs. Content moderation is a process of monitoring user generated content by tracking, flagging, assessing, and filtering out offensive and unwanted content that might create risks for a company. This module is the first of a series of modules focusing on understanding the core aspects of content moderator APIs. We'll do this in order to build a strong foundation for the modules to come. By the end of this module, you should have a good overview of what are these APIs and what they can be used for. It sounds awesome, so let's get started.
Automated Content Moderation Hi. Welcome back. We'll now explore automated content moderation. By the end of this module, you'll have a good understanding of how the image and Text Moderation APIs can be used in order to perform content moderation without any human intervention. It's an exciting topic, so let's get started.
List Management, Reviews, and Jobs Hi. Welcome back. We'll now explore jobs, reviews, and workflows. These APIs combine machine-assisted moderation with human-in-the-loop capabilities to achieve the best results. The job and review APIs offer a few ways to include human oversight in your content moderation process. Job operations are used to start machine-assisted moderation and human review creation as one step. Review operations are used for human review creation outside of the moderation step. Workflows are used to define simple, complex, and even nested expressions that appear in the Review tool for human moderators to use. Sounds exciting, so let's get started.