- [Instructor] In this video, we're going to take a look
at a machine-assisted content moderation service offered
through Azure's Cognitive Services.
A tool like this can automate the process
of detecting offensive and unwanted images, text, and video.
This way you can open up the floodgates
of customer-generated content
with checks and balances in place to ensure brand health.
To register for the service,
let's start by visiting the following URL.
I'm gonna open up a new tab, and I'm going to go to
https://contentmoderator.cognitive.microsoft.com.
Now, I've already registered an account,
but you can easily register for your own.
Let's go ahead and log in.
I'll click on Sign in.
Click on Local Account Signin.
And the first thing we have to do is we have
to set up a team, because if you think through this idea
of content moderation,
you need a team to be able to review content
as this service is finding things
that it flags needing review.
Let's go ahead and select West US.
We'll give the team a name.
We'll call it the Machine Learning
for Marketing Team.
And we can invite others if we'd like to.
For now, we won't.
And let's just go ahead and select Create Team
at the bottom of that form.
Now, this brings us into a dashboard
where we can see statistics for content generation,
assuming we had a program that was running.
Let's go ahead and give it a try
so you can see how this works.
I'm going to select Try from the top navigation
and then click on Image.
And from here, I can choose files.
And in your Exercise Files,
there is a folder called 03-04.
Just loaded three images in there for us to use
so we can see how this works.
So I'll select all three of those and Open.
And those will upload themselves into the platform,
and now I'm going to click on the Submit button.
You can imagine that could be a user submitting content
over your website, for example.
Those have been processed,
so let's click here for review in the green ribbon.
And let's take a look at the ellipse
from the first image right here in View details.
We can see that there are two different criteria
that it's looking at, and it's trying to predict
whether or not this content is flagged as adult or as racy.
And in both cases here,
it's identified that this particular image is not.
So you could have a workflow that could use that information
to them allow for that image to post to your website
or go into some sort of moderation queue.
What you can do is you can tap into the API
for a platform like this and use the machine learning engine
to help operate those workflows.
In the case we just looked at,
the workflow would be focused on content moderation.
You can apply the same type of thinking
and similar ML services to personalize content
and to notify you when certain attributes are found
in content submittals.
This kind of approach can empower you
to automate some of your marketing programs.