I’m doing a sentiment analysis project with a large dataset of tweets. I didn’t want to pad my data to the largest tweet in the entire dataset, so I padded my data to the largest in each batch instead. But the dimensions across batches are obviously not the same so I can’t figure out what to do with my model’s input dimensions.
Are dynamic input dimensions even possible, or do I need to do either padding to the largest data point in the dataset or some other kind of padding?