So let's continue our discussion on GRITOS sentiment analysis project.
So I have to find you a Ford video consumer.
Presumably consumers see great access token and access open secret.
And we help all those.
So let us fill up all those video.
So EPA is responding to consumer key.
Lekman Selective EPA key.
Let me keep it in first video, but then we have a EPA consumers secret key talking.
So that will be dismissed.
We have access token and access open secret.
All right.
Let me execute it.
And we have defined this for video related to Dawkins'.
Next is to get some data from this to decide what Delp of this Tolkan Velho Glass tablas for authenticate
of a cell that we are the genuine use it based on whatever app we created.
This NLB sentiment one to.
So for that, we are going to use this gloopy library.
Be not on hand, let.
And just pass on consumer to key and consumer secret.
Consumer secret.
Let me assign you to some OK?
And now inside this art object, we are going to set this access token.
So that will be a set and the school access and a school Pocan access, token and access token secret.
Now, once the heart of did God created, we can create the EPA, our coffee, so to speak, no EPA.
And we can here to pass on this pork object for an indication.
And it will be done as one EPA object.
Now, from Vaizey gay object, we can affect everything from the solar.
If you try to display what is the type of this EPA object?
You can see it's a type of goopy, dark EPA, not EPA.
One star turned Dickies and is successful with these two, don't celebrate.
Now let's see how we can get some.
It's based on some.
He was.
So we are going to define here are two very well, let's see.
One is search term.
Let's it so it's done will be our money, Heyst.
And how many tweets you want to reply?
So that will be a number of.
It's.
Let's see, thousand.
Let me want to cry.
Now let's use this therapy API.
So repeat not we are going to use this concept in here.
I can posit for which particular API you want to make this call predict will be API dart search.
What which particular word?
So that will be a cue equal to whatever search done we define.
And how many tweets you want to read, right so far?
You can use the items matter.
And that will be a number of tweets.
Let me assign it to do its.
Let's just execute it.
And if you just tried to bring this to.
You can see we got the one Étretat object.
That means we can do what, every single tweet.
And get the facts out of it.
So in the next video, we will see how to redo it every single day and find the sentiment associated
with that.
See you in the next video.