I would like to use multiple texts as inputs to a model, let’s say I have a dataset with 10 columns each column is a text (sentence or two), how can I fit all these inputs to the model and do a classification for example ?
I can see it’s possible to just concatenate all texts in one, but seems that for me, I need a very large data to be apple to achieve good accuracy.
Maybe using multiple models (BERT) in parallel, taking last hidden state, concatenate them and classify ? But the problem is that there’s so many values order of 30 texts.
Any idea how to tackle this ?