Hi everyone,
I’m using BERT to classify a user profile as a clothing salesman or not based on all their posts on the wall. A user profile can have posts relating to sales and not sales mixed together.
The problem is I tried to represent features as concatenate posts together or get combine post vectors as get mean of them but the models are very slow coverage.
Any suggestion for this case?