danilo62 OP t1_jeeygpe wrote on March 31, 2023 at 3:00 PM

Reply to comment by --dany-- in [D] Best deal with varying number of inputs each with variable size using and RNN? (for an NLP task) by danilo62

But even then, with the other features (sentiment analysis, tf-idf) how would I feed a vector containing a varying number of tokens and other types of features? I can't see how you would this using an RNN. That is for each post

--dany-- t1_jefcm9m wrote on March 31, 2023 at 4:32 PM

The embedding contains all information like sentiment or tf-idf. You just need to train a model to predict trait from post embedding then average over all posts by a person. I didn’t suggest using RNN. Are you sure you were replying my comment?

danilo62 OP t1_jefo88t wrote on March 31, 2023 at 5:48 PM

Oh, I hadn't realized that you meant that the embedding would contain information about other features, I get it now. I was referencing an RNN since I thought it was the only option due to the variable input size. Thanks