Suppose you$$re building a sentiment classifier based on users$$ reviews on a product. The model is expected to predict a numeric $$sentiment score$$ for each review. Which of the following RNN architectures will be most suitable for this kind of problem?

One$-$to$-$many architecture

Many$-$to$-$one architecture

Encoder$-$decoder architecture

Standard many$-$to$-$many