Thank you so much @lewtun! I didn’t know about sentence-transformers, I will definitely check it out.
I am a bit confused about this part that you suggested above-

“e.g. you could create an embedding for each user post, average the embeddings, and then use those embeddings for a simple logistic regression classifier.”

So, let’s say the first user has 10 posts, then I use a sentence-transformer and get embeddings for each post (or each sentence of all posts of that user) individually, and then repeat it for all users. But then before feeding into the classifier model I’ve to merge all the post embeddings of each user, so for the first user 10 embeddings, concatenation would probably make it too big, so are you suggesting I should take the average of the 10 embedding vectors?