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You have completed Build a Chatbot with Watson APIs!
You have completed Build a Chatbot with Watson APIs!
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An intent communicates a user's goal, something they want to achieve. We will start building our Conversation service by defining our first intent.
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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
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