OK, so this particular project is actually an text processing project, so in this particular project,
we will be walking the text and this is the data set which we have for jobs, which is basically the
IMDB dataset.
This contains movie reviews and there will be 50000 reviews, just media.
So we have 50000 text reviews.
And all along with that, we have one volume of sentiment which contains value, either positive or
negative.
So you will have to convert this entire text into some kind of vector, which we have already known
as part of the MLP session.
And people have to convert the sentiment into either a label included or, you know, dummy form that
is 014.
And then he can simply apply any classification module on top of it.
So I hope they will be able to implement this based on the knowledge which we have got during the end
of the recession.
And in case you need any help, you can go ahead and have a look at the implementation which has been
shared.
But I would suggest to try this at your own first and after that, have a look at the solution once
you have tried it.