- [Instructor] For our last demo of some
of these Watson services,
let's take a look at their personality insights service
which is capable of looking at unstructured text,
such as somebody's tweets or Facebook posts
or things like that
and analyzing that text for their personality traits.
So, if you take a look
at IBM's documentation on this service,
they say that you can gain insight into how and why
people think, act, and feel the way they do.
So they use various linguistic analysis techniques,
they use personality theory, and other capabilities
to analyze that unstructured text.
And one way that you might be able
to use information like this,
and of course, nowadays with all the privacy concerns,
you may not want to do things like this
but you could potentially use this type of a service
to target your product advertising
for instance, at the people who are most likely
to purchase those products.
So, they have, of course, a demo of this
along with many of their other services.
Let me switch over to the demo.
When you go to the demo page,
you'll see that they have some options
for trying the service with tweets and replies
for some people that are well-known in the world
like Oprah Winfrey.
You can supply a body of text or if you want,
you can log into your own twitter account
and they'll pull your recent tweets
and analyze based on that.
So, what I did just for demo purposes
was try out the Oprah Winfrey Twitter account.
So if I go ahead and select that,
looks like I have to refresh the page here,
so let's try it again.
So select that and click analyze,
and now, when it finishes analyzing,
they give us back what they call a personality portrait
based on the number of words they analyze,
they say this is a very strong analysis.
Then, they give me a summary of Oprah Winfrey
and her personality traits.
Not only in paragraph form,
things that she's likely and unlikely to do,
but also a whole bunch of interesting statistics
as well about her personality consumer needs and values.
So for instance, this 94% here
says that Oprah Winfrey is agreeable
and more so than 94% of the population.
And she's conscientious more so than 81% of the population.
So as you can see,
this is kind of a more abstract concept
in terms of the analysis of the text that's going on.
This is again another example of natural language processing
but at a much higher level than the techniques
that we demonstrated for you
in the natural language processing lesson
and even in a couple of the demos earlier
in this presentation from IBM Watson.
Now, I just wanna point out before we finish up here,
again, if you go to the Watson services listing
on their website and click browse services,
you'll see what all the services are
and you'll see all the demo links
for the services that I've shown you so far
and the other ones that are available as well.
I didn't cover all of those here
and if you are interested,
you can go ahead
and take a look at some of those other demos also.