"The Rails Asset Pipeline and Styling" was retired on April 30, 2018. You are now viewing the recommended replacement.
Heads up! To view this whole video, sign in with your Courses account or enroll in your free 7-day trial. Sign In Enroll
Well done!
You have completed Build a Chatbot with Watson APIs!
You have completed Build a Chatbot with Watson APIs!
Preview
An intent communicates a user's goal, something they want to achieve. We will start building our Conversation service by defining our first intent.
Documentation
Related Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign upRelated Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign up
We will start building our conversation
service by defining our first intent.
0:00
An intent is a group of examples of things
to use or might say to do something.
0:05
They're communicating their goals,
something they want to achieve.
0:11
Creating an intent is easy.
0:16
You start by thinking of something
your users will want to do.
0:18
Then you went to the multiple examples
of how they would say or type that goal.
0:23
>> In our current chaoter, our user would
want to turn things up, for example,
0:28
they might think something like,
I want to turn on the radio and
0:32
we want Watson to learn
how to handle this.
0:35
So what is the goal here?
0:38
They want to turn on the radio.
0:39
Now, for intents,
0:41
we only care about what they want to do,
which in this case is turn something on.
0:42
We don't care yet whether they're talking
about the radio, lights, the heater or
0:47
whatever, we just need Watson to realize
that the intent is to turn something on.
0:51
Okay, so, if we're in the app right now,
where it's not doing anything, and
0:57
we type, turn on the radio.
1:00
As expected, nothing happens.
1:03
But, over here on the right, we have
this section called Watson understands.
1:05
In this, is the JSON response
currently being returned
1:10
by our conversation service.
1:13
And, what I want to highlight is here.
1:15
Notice that there is an intense
array here and it is empty.
1:17
So that's what we're going to build.
1:21
So Arman, how should we get started?
1:23
>> Excellent and wonderful.
1:26
Let's go to our conversation service and
1:27
we're going to open
the treehouse workspace.
1:30
An intention may be to
turn something on or
1:34
to turn something off,
we don't know what yet.
1:37
So why don't we start
with turn underscore on?
1:41
No spaces in this.
1:45
>> Okay.
>> And the pound sign, and later on you'll
1:47
note the at sign with entities,
is not a programmatical construct.
1:50
It's merely here to help
distinguish these two
1:55
easily as we move-
>> Okay.
1:59
Cool.
>> Into the dialogue.
2:01
>> Makes sense.
2:03
>> Well, let's enter an example.
2:03
For example, power on.
2:06
>> Okay.
2:10
>> Turn on.
2:13
Switch on.
2:15
Play.
2:20
Start.
2:23
>> Good, good, sometimes I'll say flip on,
like flip on the radio.
2:25
>> Absolutely, absolutely.
2:28
>> So now I noticed that we're
not adding the entity yet,
2:30
like we're not saying,
power on the radio, or turn on the wipers.
2:33
That's because if I'm understanding
the intent just wants to focus on
2:36
again that we are turning something on.
2:40
Is that correct?
2:41
>> You're precisely right,
Ben, absolutely.
2:42
In here we are defining our intention and
as we become more gradual, we will then in
2:44
the intense, identify what is it that we
want to turn on or turn off and similar.
2:50
>> Okay, so having a wide variety
of examples here is really helpful.
2:56
The more we can add to the intent,
the better it will help Watson
2:59
learn how to recognize that the user
wants to turn something on.
3:03
So we don't need to list
every possibility, but
3:06
we do want to list at least five
examples for each intent that we create.
3:08
And we can always edit or
add these examples later.
3:12
>> Absolutely true.
3:15
And bear in mind that natural
language classifier, which is
3:16
the engine running intents and entities,
already comes trained with Wikipedia.
3:21
All we need to do is just give it
a push in the right direction.
3:27
>> Very neat, yeah.
3:30
>> We should also point out that you can
import data for intents and entities,
3:32
which is helpful if you have a list
already or generated data somewhere.
3:36
We'll see how to do this a bit later.
3:42
>> Okay, so
I guess I can click Done now ,right?
3:45
This one is done.
>> Yes.
3:47
>> Good, and now we can go back to
our example, and I'm gonna refresh.
3:48
And now let's try again one of
our examples, turn on the radio.
3:56
And over here in the Watson Understands
section, now the intents is populated
4:03
with an array and it matched the turn
on intent that was just created, and
4:08
we gave it with a very high
confidence score here of 0.95,
4:13
which a score of 1 is like
it's perfectly confident.
4:17
So Watson at this point is very confident
that we want to turn something on.
4:20
You need to sign up for Treehouse in order to download course files.
Sign upYou need to sign up for Treehouse in order to set up Workspace
Sign up