How to represent features for multiple posts of user profiles

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?